JP2018045331A - Determination apparatus, determination method, and determination program - Google Patents

Abstract

[PROBLEMS] To appropriately determine the evaluation of a review.
A determination apparatus according to the present application includes an acquisition unit and a determination unit. An acquisition part acquires the information regarding the other user's reaction to the review which the user posted with respect to the object. The determination unit determines an evaluation regarding the review based on information regarding another user's reaction to the review acquired by the acquisition unit. For example, an acquisition part acquires the information regarding the other user's action after the review browsing as information regarding the other user's reaction to the review.
[Selection] Figure 3

Description

  The present invention relates to a determination device, a determination method, and a determination program.

  Conventionally, various techniques related to posting a review for a predetermined target such as a product have been provided. For example, there is provided a technique for giving a privilege to a review contributor according to use of a coupon added to a review and giving an incentive to write a review to the review contributor.

JP 2012-208573 A

  However, it is difficult to appropriately determine the review evaluation in the above-described conventional technology. For example, if a review is evaluated based on the amount of coupon usage added to the review, the more the coupon is used, the higher the rating of the review, but the rating does not necessarily evaluate the review appropriately. .

  The present application has been made in view of the above, and an object thereof is to provide a determination device, a determination method, and a determination program for appropriately determining review evaluation.

  The determination apparatus according to the present application includes an acquisition unit that acquires information about a user's reaction to a review posted by a user on a target, and information about another user's response to the review acquired by the acquisition unit And a determination unit that determines an evaluation relating to the review.

  According to the aspect of the embodiment, there is an effect that the evaluation of the review can be appropriately determined.

FIG. 1 is a diagram illustrating an example of a determination process according to the embodiment. FIG. 2 is a diagram illustrating an example of providing a service using review evaluation according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the determination apparatus according to the embodiment. FIG. 4 is a diagram illustrating an example of a user information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of a review information storage unit according to the embodiment. FIG. 6 is a flowchart illustrating an example of determination of review evaluation according to the embodiment. FIG. 7 is a diagram illustrating an example of the determination process according to the embodiment. FIG. 8 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the determination apparatus.

  Hereinafter, a determination apparatus, a determination method, and a mode for executing a determination program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the determination device, the determination method, and the determination program according to the present application are not limited to the embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

(Embodiment)
[1. Decision process)
[1-1. (Evaluation decision)
An example of the determination process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a determination process according to the embodiment. The example of FIG. 1 shows a case where the evaluation of the review is determined based on a user's reaction provided with information related to a review (hereinafter, also referred to as “review information”). Below, the case where the determination apparatus 100 determines the evaluation score of a review as evaluation of a review is shown. Note that here, information including satisfaction and comments posted to a predetermined target such as a product or service by a user is referred to as “review”, and the value judgment of other users for the “review” is referred to as “evaluation”. . Further, the object referred to here is not limited to products and services, and may include various objects as long as the user can post a review.

  As shown in FIG. 1, the determination system 1 includes a terminal device 10, a commercial transaction device 50, and a determination device 100. The terminal device 10, the commercial transaction device 50, and the determination device 100 are connected to be communicable by wire or wireless via a predetermined communication network (not shown). Further, the determination system 1 illustrated in FIG. 1 may include a plurality of terminal devices 10, a plurality of commercial transaction devices 50, and a plurality of determination devices 100.

  The terminal device 10 is an information processing device used by a user. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. In the example illustrated in FIG. 1, the terminal device 10 is a smartphone. Hereinafter, the terminal device 10 may be referred to as a user. That is, hereinafter, the user can be read as the terminal device 10.

  The commercial transaction apparatus 50 is an information processing apparatus used for providing an electronic commercial transaction service. For example, the commercial transaction device 50 provides an electronic commercial transaction service in response to a purchase request from a user. In addition, the commercial transaction device 50 provides information related to user purchase (hereinafter also referred to as “purchase information”) to the determination device 100. Note that the service provided by the provider using the commercial transaction device 50 is not limited to the electronic commercial transaction service and may be any type of service as long as the product or service purchased by the user U1 can be provided to the user. . Further, the commercial transaction device 50 may be integrated with the determination device 100. For example, when the commercial transaction device 50 is integrated with the determination device 100, the determination device 100 may provide an electronic commercial transaction service.

  The determination apparatus 100 is a determination apparatus that determines an evaluation related to a review based on information related to a response of another user to the review. For example, the determination apparatus 100 determines the evaluation regarding the review based on the information regarding the behavior of the other user after viewing the review. In FIG. 1, the determination apparatus 100 shows a case in which evaluation of a review is determined based on whether another user has purchased a review target after viewing the review. Further, in FIG. 1, the review-related evaluation is determined based on the information related to the behavior of the user U1 after the review of the user identified by the user ID “U1” (hereinafter also referred to as “user U1”). Show.

  First, in the example of FIG. 1, the terminal device 10 requests review information from the determination device 100 in response to an operation by the user U1 (step S11). For example, the terminal device 10 requests the determination device 100 for review information on the washing machine A. For example, the terminal device 10 may request the review information of the washing machine A from the determination device 100 when the user U1 selects the washing machine A among a plurality of targets displayed in a list on the screen. For example, the terminal device 10 transmits information indicating that the user requesting the review information is the user U1 and information indicating that the target requesting the review information is the washing machine A to the determination device 100. Request review information.

  The determination device 100 that has acquired the review request for the washing machine A from the terminal device 10 provides the terminal device 10 with the review information of the washing machine A (step S12). For example, the determination device 100 provides the terminal device 10 with the review information related to the washing machine A among the review information stored in the review information storage unit 122.

  In the example illustrated in FIG. 1, a review identified by review IDs “RV11” to “RV14” or the like is posted to the target “washing machine A” identified by the target ID “TG1”. Hereinafter, the review identified by the review ID “RV11” is “review RV11”, the review identified by the review ID “RV12” is “review RV12”, and the review identified by the review ID “RV13” is “review RV13”. The review identified by the review ID “RV14” may be referred to as “review RV14”.

  In the example of FIG. 1, in order to simplify the description, the determination device 100 provides the terminal device 10 with information related to one of the reviews RV11 to RV14 of the washing machine A to the terminal device 10. . Specifically, the determination device 100 provides the terminal device 10 with information related to the review RV12 among the review RV11 to the review RV14 of the washing machine A. Note that the determination apparatus 100 may provide any review information such as the review RV11, the review RV13, and the review RV14, not limited to the review RV12.

  For example, the review RV12 indicates that it has been posted by the user identified by the user ID “U4” (hereinafter also referred to as “user U4”). Further, the review RV12 indicates that the degree of satisfaction is “5” and includes a comment such as “The sound is quiet and I do not mind when washing late at night ...”. Also, the review RV12 indicates that the evaluation score is “3.1”. The review RV12 indicates that the rank is “3”. For example, each review for the same object is given a higher rank in order from the highest evaluation score. In the example of FIG. 1, the review RV12 has an evaluation score of “3.1”, and the evaluation score “4” of the review RV13 and the evaluation score “3.5” of the review RV14 are higher. "It becomes the rank.

  The evaluation score “3.1” of the review RV12 shown in the review information storage unit 122 in FIG. 1 indicates the evaluation score of the review RV12 before the evaluation of the review RV12 based on the reaction of the user U1. It is assumed that the evaluation score “3.1” of the review RV12 shown in the review information storage unit 122 in FIG. 1 is an evaluation score based on the reaction of the user provided with the review RV12 before step S15.

  As shown in FIG. 1, a page W10 is displayed on the terminal device 10 to which information related to the review RV12 is provided. Specifically, the terminal device 10 displays a page W10 indicating that the target of the review RV12 is “washing machine A” and that the poster is the user U4. The terminal device 10 includes a page W10 including five star marks indicating that the satisfaction degree in the review RV12 is “5” and comments such as “Don't worry when the sound is quiet and washing late at night ...”. Is displayed. Thereby, the user U1 considers whether to purchase the washing machine A based on the content of the review RV12. Further, in the example of FIG. 1, the content of the review RV12 includes a comment indicating the value of the washing machine A that the degree of satisfaction is the maximum “5” and the sound is small. It shall be. Note that whether the content of each review is content that is favorable to the subject may be determined based on the degree of satisfaction or the content of a comment. For example, the determination apparatus 100 may determine that the content of the review is favorable for the target when the satisfaction level is equal to or greater than a predetermined threshold (for example, 4). For example, the determination apparatus 100 determines whether or not the content of the review is favorable to the target based on the result of the semantic analysis of the comment by appropriately using various natural language processing techniques such as morphological analysis. May be determined.

  From here, the case where the user U1 to whom the information on the review RV12 is provided purchases the washing machine A within a predetermined period (for example, within one week from step S12) will be described as an example. For example, the terminal device 10 requests purchase from the commercial transaction device 50 in response to an operation by the user U1 (step S13). For example, the terminal device 10 requests the business transaction device 50 to purchase the washing machine A. For example, the terminal device 10 may request the commerce device 50 to purchase the washing machine A when the user U1 selects the washing machine A at an electronic commerce site provided by the commerce device 50 displayed on the screen. .

  The commercial transaction device 50 that has received the purchase request for the washing machine A from the user U1 in step S13 performs the purchase process for the washing machine A. For example, the commercial transaction device 50 performs a payment process for the purchase of the washing machine A, and delivers the washing machine A to the registered (input) address of the user U1.

  Moreover, the commercial transaction apparatus 50 provides purchase information to the determination apparatus 100 (step S14). For example, the commercial transaction apparatus 50 provides information indicating that the user U1 has purchased the washing machine A to the determination apparatus 100 as purchase information. Thereby, the determination apparatus 100 acquires purchase information that is information different from the direct evaluation of the user U1 to the posted review RV12 and is information related to the reaction of the other user U1 to the review RV12.

  The determination device 100 that has acquired the purchase information from the commercial transaction device 50 determines review evaluation based on the acquired purchase information (step S15). For example, the determination apparatus 100 increases (highens) the evaluation of the review RV12 based on the acquired purchase information. In the example of FIG. 1, since the user U1 has purchased the washing machine A within a predetermined period after viewing the review RV12 which is favorable content about the washing machine A, the determination device 100 includes the contents of the review RV12. As a result, the evaluation of the review RV12 is increased (increased). That is, the determination apparatus 100 increases (increases) the evaluation of the review RV12 on the assumption that the user U1 who has browsed the review RV12 is positively reacting to the review RV12. Here, the “positive reaction” means a user reaction assumed from the contents of the review. For example, it is assumed that the user U1 who has viewed the review RV12, which is a favorable content about the washing machine A, is expected to take an action that leads to the profit of the provider that provides the washing machine A, and has purchased the washing machine A. This is a user response.

  Specifically, the determining device 100 increases the evaluation score of the review RV12 from “3.1” to “4.1”. For example, the determination apparatus 100 increases the evaluation score of the review RV12 from “3.1” to “4.1” by adding 1 to the evaluation score of the review RV12. The increase in the evaluation score is just an example, and the determination apparatus 100 may determine how much the evaluation score of the review RV 12 is to be increased using various information as appropriate.

  As described above, in the example of FIG. 1, the determination apparatus 100 increases the evaluation score of the review RV 12 from “3.1” to “4.1” as illustrated in the review information storage unit 122-2. The review information storage unit 122-2 in FIG. 1 shows the state of the review information storage unit 122 after raising the evaluation of the review RV12. The review information storage unit 122 and the review information storage unit 122-2 are the same review information storage unit 122 except for the difference in the stored information.

  As described above, the determination device 100 that has increased the evaluation of the review RV 12 determines the rank based on the updated evaluation score of each review, as illustrated in the review information storage unit 122-2. In the example of FIG. 1, as shown in the review information storage unit 122-2, the review RV12 is “4.1” due to the increase in the evaluation score, and thus the evaluation score “4” of the review RV13 and the evaluation of the review RV14 Since the score is higher than “3.5”, the ranking is “1”. Further, as shown in the review information storage unit 122-2, the review RV13 and RV14 move down as the review RV12 increases, the review RV13 ranks "2", and the review RV14 ranks "3". It becomes the rank. The use of the ranking of each review will be described with reference to FIG.

  As described above, since the determination device 100 purchases the washing machine A within a predetermined period after the user U1 browses the review RV12 that is favorable for the washing machine A, the content of the review RV12 is determined. Determine that it is appropriate. And since it is useful information for other users (user U1) other than user U4 which review RV12 contributed review RV12, the determination apparatus 100 determines to raise the evaluation of the review RV12. Thus, the determination apparatus 100 can appropriately determine the evaluation of the review.

  In the above-described example, the evaluation score “3.1” of the review RV12 shown in the review information storage unit 122 in FIG. 1 is an evaluation score based on the reaction of the user provided with the review RV12 before step S15. However, the initial value of the evaluation score may be set as appropriate. For example, the evaluation score of a review may have a predetermined value (for example, “3”, etc.) as an initial value when other users' responses to the review have not been acquired. For example, the average evaluation score of other reviews posted by the user may be used as the initial value for the evaluation score of the review. The review evaluation score may be an initial value based on a difference from the average satisfaction of each review for the same object. For example, when the average of satisfaction of each review with respect to the same object is “3” and the satisfaction of the review is “3”, the evaluation score of the review is a predetermined initial value (for example, “5”, etc.) May be set. Further, for example, the review evaluation score is a value obtained by subtracting 1 from a predetermined initial value when the average of satisfaction of each review with respect to the same object is “3” and the satisfaction of the review is “2” ( For example, “4” or the like may be set. Note that the above is an example, and the determining apparatus 100 may determine the initial value of the evaluation score of each review using various information as appropriate.

  Moreover, the determination apparatus 100 may determine the evaluation regarding a review based on the reliability of the user who responded to the review. For example, the determination apparatus 100 may determine the evaluation related to the review based on the number of reviews submitted by the user who has responded to the review, the evaluation score of the review posted by the user, or the like. For example, when the evaluation score of the review posted by the user who has responded to the review is high, the determination apparatus 100 may increase the reliability of the user. For example, the determination apparatus 100 may increase the reliability of the user U1 when the evaluation average that is the average of the evaluation scores of the reviews posted by the user U1 is high. In this case, the determination apparatus 100 may make the degree of influence on the review evaluation score of the information related to the reaction of the user U1 to the review larger than other users. Thereby, the determination apparatus 100 can appropriately determine the evaluation of the review by increasing the influence of the highly reliable user on the evaluation of the review.

  Further, for example, since the evaluation average of the user U3 is “1.1” (see FIG. 4) and is lower than the user U1, the user U4, and the like, the determination apparatus 100 can reduce the reliability of the user U3. Good. In this case, the determination apparatus 100 may make the degree of influence on the review evaluation score of the information related to the reaction of the user U3 to the review smaller than other users. Thereby, the determination apparatus 100 can appropriately determine the evaluation of the review by suppressing the influence of the user with low reliability on the evaluation of the review. Note that the above is an example, and the determination apparatus 100 may determine review evaluation using various information as appropriate.

  Further, in the example of FIG. 1, the case where the evaluation of the review is determined according to the user's reaction to the review of the content favorable to the target is shown, but the determination device 100 is not favorable to the target. The review evaluation may be determined according to the user's reaction to the content review (hereinafter, sometimes referred to as “non-favorable review”). This point will be described in detail. Here, the determination device 100 evaluates the unfavorable review based on the response to the review in which the satisfaction level of the washing machine A is “2” and the comment is “High electricity bill”. A case of determination will be described. Note that the determination device 100 may determine that the content of the review is not favorable to the target when the satisfaction level is equal to or less than a predetermined threshold (for example, 2), or various natural languages such as morphological analysis. It may be determined whether or not the content of the review is favorable to the target based on the result of the semantic analysis of the comment using the conventional processing technology as appropriate.

  For example, the determination device 100 transmits a non-favorite review about the washing machine A to the terminal device 10 used by the predetermined user, whereby the non-favorable review about the washing machine A is transmitted to the terminal device 10 used by the predetermined user. Is displayed. Specifically, the terminal device 10 used by a predetermined user includes five stars or “electricity” indicating that the object of unfavorable review is the washing machine A, and the satisfaction level is “2”. A page that includes a comment such as “You ’re expensive” is displayed.

  From here, the case where the predetermined user to whom the unfavorable review about the washing machine A is provided purchases the washing machine B similar to the washing machine A within a predetermined period (for example, within two weeks) will be described as an example. To do. Here, it is assumed that the determination device 100 has already acquired purchase information indicating that a predetermined user has purchased the washing machine B from, for example, the commercial transaction device 50.

  The determination apparatus 100 that has acquired purchase information indicating that a predetermined user who has been provided with information regarding the unfavorable review of the washing machine A has purchased the washing machine B similar to the washing machine A is based on the acquired purchase information. To determine an unfavorable review rating for washing machine A. For example, the determination apparatus 100 increases (increases) the evaluation of the unfavorable review for the washing machine A based on the acquired purchase information. In this case, since the predetermined user has purchased the washing machine B different from the washing machine A within a predetermined period after viewing the unfavorable review which is not favorable for the washing machine A, the determination apparatus 100 Assuming that the contents of the non-favorite review for the washing machine A are appropriate, the evaluation of the non-favorite review for the washing machine A is increased (increased). Specifically, when the evaluation score of the unfavorable review for the washing machine A is “3”, the determination apparatus 100 increases the value to “4”. The increase in the evaluation score is just an example, and the determination apparatus 100 may determine how much the evaluation score for the unfavorable review is to be increased using various information as appropriate.

  The determination device 100 increases the evaluation of the unfavorable review on the basis of various kinds of information, in the case of increasing the evaluation of the unfavorable review according to the reaction to the unfavorable review. Also good. For example, when a predetermined user who has been provided with the unfavorable review performs an action to reduce the profit of the provider who provides the unfavorable review object, the determination apparatus 100 evaluates the unfavorable review. May be raised. For example, the determination apparatus 100 may purchase the washing machine A within a predetermined period (for example, within one week) after the user who has reserved the washing machine A browses the unfavorable review about the washing machine A. When the schedule is canceled, the evaluation regarding the unfavorable review about the washing machine A may be increased.

  In addition, for example, when the user who viewed the unfavorable review does not perform an action that leads to the benefit of the provider who provides the target corresponding to the unfavorable review, the determination apparatus 100 relates to the unfavorable review. Evaluation may be high. For example, when the predetermined user does not purchase the washing machine A within a predetermined period (for example, within one month) after the predetermined user views the unfavorable review about the washing machine A, the determination apparatus 100 A higher rating for the unfavorable review of A may be given. In addition, said predetermined period is an example and may be suitably set according to the content and user of object. For example, the predetermined period is an example, and the predetermined period may be longer as the target price is higher.

[1-2. Service provision)
Next, an example of service provision using review evaluation will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of providing a service using review evaluation according to the embodiment. Note that the determination device 100 and the determination device 100-2 in FIG. 2 are for indicating a state in which the contents stored in the review information storage unit 122 are different. The determination device 100 is the same except for the difference in information stored in the information storage unit 122. For example, the determination device 100 in FIG. 2 corresponds to the determination device 100 before the evaluation determination in step S15 in FIG. That is, the review information stored in the review information storage unit 122 of the determination apparatus 100 in FIG. 2 corresponds to the review information storage unit 122 in FIG.

  Moreover, the determination apparatus 100-2 in FIG. 2 respond | corresponds to the determination apparatus 100 after the evaluation determination in step S15 in FIG. That is, the review information stored in the review information storage unit 122-2 of the determination apparatus 100-2 in FIG. 2 corresponds to the review information storage unit 122-2 in FIG. FIG. 2 shows a case where a user identified by the user ID “U2” (hereinafter also referred to as “user U2”) requests a review list (hereinafter also referred to as “review list”).

  First, the provision of services in the determination apparatus 100 (determination apparatus 100 in FIG. 2) before the evaluation determination in step S15 in FIG. 1 will be described. In the example of FIG. 2, the terminal device 10 requests a review list from the determination device 100 in response to an operation by the user U2 (step S21). For example, the terminal device 10 requests the determination device 100 for a review list of the washing machine A. For example, the terminal device 10 may request the review list of the washing machine A from the determination apparatus 100 when the user U2 selects the washing machine A among a plurality of targets displayed in a list on the screen. For example, the terminal device 10 transmits information indicating that the user requesting the review list is the user U2 or information indicating that the target requesting the review list is the washing machine A to the determination device 100. Request a review list.

  The determination device 100 that has acquired the request for the review list of the washing machine A from the terminal device 10 provides the review list of the washing machine A to the terminal device 10 (step S22). For example, the determination device 100 provides the terminal device 10 with a review list regarding the washing machine A among the review information stored in the review information storage unit 122. For example, the determination device 100 provides the terminal device 10 with a review list related to the washing machine A in which the reviews arranged based on the ranks are arranged. In the example of FIG. 2, the determination apparatus 100 is arranged in the order of the review RV13 having the first rank, the review RV14 having the second rank, the review RV12 having the third rank, and the review RV11 having the fourth rank. A review list is provided to the terminal device 10.

  Next, service provision in the determination device 100 (determination device 100-2 in FIG. 2) after the evaluation determination in step S15 in FIG. 1 will be described. In the example of FIG. 2, the terminal device 10 requests a review list from the determination device 100-2 in response to an operation by the user U2 (step S31). For example, the terminal device 10 requests the review list of the washing machine A from the determination device 100-2. For example, the terminal device 10 may request a review list of the washing machine A from the determination device 100-2 when the user U2 selects the washing machine A among a plurality of targets displayed in a list on the screen. For example, the terminal device 10 transmits information indicating that the user requesting the review list is the user U2 and information indicating that the target requesting the review list is the washing machine A, whereby the determination device 100- Request a review list in 2.

  The determination apparatus 100-2 that has acquired the request for the review list of the washing machine A from the terminal device 10 provides the review list of the washing machine A to the terminal device 10 (step S32). For example, the determination device 100-2 provides the terminal device 10 with a review list regarding the washing machine A among the review information stored in the review information storage unit 122-2. For example, the determination device 100-2 provides the terminal device 10 with a review list regarding the washing machine A in which the reviews arranged based on the ranks are arranged. In the example of FIG. 2, the determination apparatus 100-2 has a review RV 12 with the first rank, a review RV 13 with the second rank, a review RV 14 with the third rank, and a review RV 11 with the fourth rank. A list of reviews arranged is provided to the terminal device 10.

  As described above, since the determination device 100 determines that the review RV12 is useful information for other users than the user U4 who posted the review RV12, the determination device 100 increases the evaluation score of the review RV12. To do. Thereby, the determination apparatus 100 can provide the user with a review list of the washing machine A in an order in which the review RV12 is more easily viewed by the user. As described above, the determination apparatus 100 can appropriately provide information regarding the review to the user by providing the review list ranked based on the evaluation score according to the other user's reaction to each review. it can.

  Moreover, although the case where the determination apparatus 100 provides a review list based on the rank according to the evaluation score is shown in the above-described example, the determination apparatus 100 may provide various services based on the evaluation score. For example, the determination apparatus 100 may provide a predetermined reward to a user who has submitted a review whose evaluation score satisfies a predetermined condition. For example, the determination apparatus 100 may provide a predetermined reward to a user who has posted a review with an evaluation score of “4” or higher. In this case, the determination apparatus 100 may provide a predetermined reward such as a predetermined amount of electronic money to the user U13 who has posted the review RV13 having an evaluation score of “4” or more. Thereby, the determination apparatus 100 can give a user a motivation to post an appropriate review regarding the object.

[2. Configuration of decision device]
Next, the configuration of the determination apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the determination apparatus 100 according to the embodiment. As illustrated in FIG. 3, the determination apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The determination device 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the determination device 100 and a display unit (for example, a liquid crystal display) for displaying various types of information. May be.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to the network by wire or wirelessly, and transmits and receives information to and from the terminal device 10 included in the determination system 1, for example.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 3, the storage unit 120 according to the embodiment includes a user information storage unit 121 and a review information storage unit 122.

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various types of information regarding the user. For example, the user information storage unit 121 stores various types of information regarding user attributes. FIG. 4 is a diagram illustrating an example of a user information storage unit according to the embodiment. The user information storage unit 121 illustrated in FIG. 4 includes items such as “user ID”, “terminal ID”, “age”, “sex”, “number of reviews”, “evaluation average”, and “reviewed list”.

  “User ID” indicates identification information for identifying a user. “Terminal ID” indicates information for identifying the terminal device 10 used by the corresponding user. When a corresponding user uses a plurality of terminal devices 10, a plurality of “terminal IDs” may be stored in the user information storage unit 121. “Age” indicates the age of the user identified by the corresponding user ID. The “age” may be a specific age of the user identified by the corresponding user ID, such as 35 years old. “Gender” indicates the gender of the user identified by the corresponding user ID.

  The “number of reviews” indicates the number of reviews posted by the user identified by the corresponding user ID. “Evaluation average” indicates an average of evaluations for reviews posted by the user identified by the corresponding user ID. The “reviewed list” indicates a review list posted by the user identified by the corresponding user ID. The “reviewed list” includes items such as “target 1” and “target 2”.

  For example, in the example shown in FIG. 4, the user identified by the user ID “U1” (corresponding to the user U1 in FIG. 1) uses the terminal device 10 identified by the terminal ID “TM1”. Show. In addition, the age of the user identified by the user ID “U1” is “30s”, and the gender is “male”. Further, the number of reviews posted by the user identified by the user ID “U1” is “50”. Moreover, it shows that the average of the evaluation of the review submitted by the user identified by the user ID “U1” is “4.1”. Further, the target to which the user identified by the user ID “U1” has posted the review indicates that the target is identified by the target ID “TG4” or the target identified by the target ID “TG7”.

  For example, in the example illustrated in FIG. 4, the user identified by the user ID “U2” indicates that the terminal device 10 identified by the terminal ID “TM2” is being used. In addition, the age of the user identified by the user ID “U2” is “20s”, and the gender is “female”. The number of reviews posted by the user identified by the user ID “U2” is “0”. In addition, the average evaluation of reviews posted by the user identified by the user ID “U2” is “−”. In addition, it indicates that there is no target to which the user identified by the user ID “U2” has posted a review.

  The user information storage unit 121 is not limited to the above, and may store various types of information according to the purpose. For example, the user information storage unit 121 may store information such as name, residence, interest, family structure, income, lifestyle, and the like. The user information storage unit 121 may store purchase information for each user. For example, the determination device 100 may store the purchase information of each user acquired from the commercial transaction device 50 in the user information storage unit 121.

(Review information storage unit 122)
The review information storage unit 122 according to the embodiment stores information related to reviews. FIG. 5 shows an example of information about the user stored in the review information storage unit 122. As shown in FIG. 5, the review information storage unit 122 includes “object ID”, “category”, “object”, “review ID”, “user ID”, “detailed information”, “evaluation score” as information relating to evaluation. ”And“ rank ”are included.

  “Target ID” indicates identification information for identifying a review target. “Category” indicates a category into which the object is classified. In the example illustrated in FIG. 5, the category is “product” or “service”. The “target” is a target identified by the target ID, and indicates a review posting target. “Review ID” indicates identification information for identifying a review. “User ID” indicates identification information for identifying a user who has posted a corresponding review.

  The “detailed information” includes items such as “satisfaction” and “comment”. “Satisfaction” indicates a user's satisfaction regarding the corresponding target. For example, the “satisfaction level” indicates how many of the user satisfaction levels regarding the corresponding target are out of 5 points. “Comment” indicates a comment posted by the user regarding the corresponding target.

  For example, in the example illustrated in FIG. 5, the target identified by the target ID “TG1” is the target “washing machine A” whose category is “product”. Further, it is indicated that the review identified by the review IDs “RV11” to “RV14” is posted on the target “washing machine A” identified by the target ID “TG1”. For example, it is indicated that the review identified by the review ID “RV11” is posted to the target “washing machine A” identified by the target ID “TG1”. The review identified by the review ID “RV11” indicates that the review is posted by the user identified by the user ID “U11”. The review identified by the review ID “RV11” indicates that the satisfaction level is “3” and includes a comment such as “Not particularly good”. Further, the review identified by the review ID “RV11” has an evaluation score of “2.5”, and the ranking in the review for the target “washing machine A” is “4”.

  Further, the review information storage unit 122 may store information such as an image related to the object and a file path to the image. Note that the review information storage unit 122 is not limited to the above, and may store various types of information according to the purpose. For example, the review information storage unit 122 may store information related to the date and time when the review related to the object is posted.

(Control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller, and is stored in a storage device inside the determination apparatus 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Various programs (corresponding to an example of a determination program) are implemented by using the RAM as a work area. The control unit 130 is a controller, and is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 3, the control unit 130 includes an acquisition unit 131, a determination unit 132, and a provision unit 133, and realizes or executes functions and operations of information processing described below.

(Acquisition part 131)
For example, the acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires information related to another user's reaction to the review posted by the user on the target. For example, the obtaining unit 131 obtains information that is different from other users 'direct evaluations on posted reviews and that is related to other users' reactions to posted reviews. For example, as information related to another user's reaction to the review, information related to the behavior of the other user after viewing the review is acquired. In FIG. 1, the acquisition unit 131 acquires purchase information from the commercial transaction device 50.

  The acquisition unit 131 acquires a request for review information. In FIG. 1, the acquisition unit 131 acquires a request for review information from the terminal device 10 used by the user U1. In addition, the acquisition unit 131 acquires a request for a review list. In FIG. 2, the acquisition unit 131 acquires a review list request from the terminal device 10 used by the user U2. In FIG. 1, the acquisition unit 131 acquires a review request for the washing machine A from the terminal device 10. In FIG. 2, the acquisition unit 131 acquires a review list request for the washing machine A from the terminal device 10.

(Determining unit 132)
The determination unit 132 determines various information. For example, the determination unit 132 determines the evaluation regarding the review based on the information regarding the other user's reaction to the review acquired by the acquisition unit 131. The determination unit 132 determines the evaluation regarding the review based on the information regarding the behavior of the other user after the review is browsed.

  For example, after viewing a review that is content that is favorable to the target, the determination unit 132 increases the evaluation regarding the review when another user performs an action that leads to the benefit of the provider providing the target. For example, the determination unit 132 increases the evaluation regarding the review when another user purchases the target after viewing the review that is content favorable to the target.

  For example, after viewing a review that is content that is not favorable to the target, the determination unit 132 increases the evaluation regarding the review when another user does not perform an action that leads to the benefit of the provider that provides the target. . For example, the determination unit 132 increases the evaluation regarding the review when another user does not purchase the target in a predetermined period after the review that is content that is not favorable to the target.

  For example, after viewing a review that is content that is not favorable to the target, the determination unit 132 increases the evaluation regarding the review when another user performs an action that reduces the profit of the provider that provides the target. . For example, the decision unit 132 increases the evaluation regarding the review when another user purchases a product similar to the target after browsing a review that is not favorable to the target. For example, the determination unit 132 increases the evaluation regarding the review when another user cancels the purchase schedule of the target after viewing the review that is not favorable to the target. For example, the determination unit 132 determines the evaluation regarding the review according to the score calculated based on the information regarding the other user's reaction to the review.

  For example, after viewing a review that is content favorable to the target, the determination unit 132 lowers the evaluation regarding the review when another user performs an action to reduce the profit of the provider that provides the target. . For example, after viewing a review that is content favorable to the target, the determination unit 132 lowers the evaluation regarding the review when another user purchases a product similar to the target. For example, after viewing a review that is content favorable to the target, the determination unit 132 lowers the evaluation regarding the review when another user cancels the target purchase schedule. For example, after viewing a review that is content that is not favorable to the target, the determination unit 132 lowers the evaluation regarding the review when another user performs an action that leads to the interest of the provider that provides the target. For example, after viewing a review that is content that is not favorable to the target, the determination unit 132 lowers the evaluation regarding the review when another user purchases the target.

  In the example of FIG. 1, the determination unit 132 determines review evaluation based on purchase information acquired from the commercial transaction device 50. For example, the determination unit 132 increases (increases) the evaluation of the review RV 12 based on the acquired purchase information. In the example of FIG. 1, since the user U1 has purchased the washing machine A within a predetermined period after viewing the review RV12 which is favorable content about the washing machine A, the determination unit 132 includes the contents of the review RV12. As a result, the evaluation of the review RV12 is increased (increased). Specifically, the determination unit 132 increases the evaluation score of the review RV12 from “3.1” to “4.1”. For example, the determination unit 132 increases the evaluation score of the review RV12 from “3.1” to “4.1” by adding 1 to the evaluation score of the review RV12. In addition, after the evaluation of the review RV12 is increased, the determination unit 132 determines the rank based on the updated evaluation score of each review as illustrated in the review information storage unit 122-2.

(Providing unit 133)
The providing unit 133 provides various types of information to an external information processing apparatus. For example, the providing unit 133 provides a review-related service based on the evaluation regarding the review determined by the determining unit 132. For example, the providing unit 133 provides review list information displayed in a rank based on the evaluation related to the review determined by the determining unit 132.

  For example, the providing unit 133 provides review information. For example, the providing unit 133 provides review information in response to a review request. For example, the providing unit 133 provides review information to the terminal device 10 that has transmitted a review request to the determining device 100.

  For example, the providing unit 133 provides a review list. For example, the providing unit 133 provides review information in response to a review list request. For example, the providing unit 133 provides a review list to the terminal device 10 that has transmitted a review list request to the determining device 100.

[3. Review evaluation decision process flow)
Here, with reference to FIG. 6, a procedure for review evaluation determination processing by the determination apparatus 100 according to the embodiment will be described. FIG. 6 is a flowchart illustrating an example of determination of review evaluation according to the embodiment.

  As shown in FIG. 6, the determination apparatus 100 provides review information to the user (step S101). In FIG. 1, the determination device 100 provides the terminal device 10 with the review information of the washing machine A.

  Thereafter, the determining apparatus 100 determines whether or not the user has reacted in a predetermined period (step S102). When the user responds during a predetermined period (step S102: Yes), the determining apparatus 100 determines whether the reaction is a positive response to the review information (step S103). If the determination device 100 is a positive response to the review information (step S103: Yes), the determination device 100 determines to increase the evaluation of the review information (step S104).

  On the other hand, when the determination device 100 does not respond positively to the review information (step S103: No), the determination device 100 determines to reduce the evaluation of the review information (step S105).

  In addition, when the user does not respond during the predetermined period (step S102: No), the determining apparatus 100 determines whether the review information has a negative content (step S106). When the review information has negative contents (step S106: Yes), the determination device 100 determines to increase the evaluation of the review information (step S104). On the other hand, when the review information is not negative (step S106: No), the determination apparatus 100 ends the process without updating the review information evaluation.

[4. Decision process (decrease in evaluation score)]
In the example described above, the determination apparatus 100 increases the review evaluation score. However, the determination apparatus 100 may decrease the review evaluation score. This point will be described with reference to FIG. FIG. 7 is a diagram illustrating an example of the determination process according to the embodiment.

  First, in the example of FIG. 7, the terminal device 10 requests review information from the determination device 100 in response to an operation by the user U2 (step S41). For example, the terminal device 10 requests the determination device 100 for review information on the washing machine A. For example, the terminal device 10 may request the review information of the washing machine A from the determination device 100 when the user U2 selects the washing machine A among a plurality of targets displayed in a list on the screen. For example, the terminal device 10 transmits information indicating that the user requesting the review information is the user U2 and information indicating that the target of requesting the review information is the washing machine A to the determination device 100. Request review information.

  The determination device 100 that has acquired the review request for the washing machine A from the terminal device 10 provides the terminal device 10 with the review information of the washing machine A (step S42). For example, the determination device 100 provides the terminal device 10 with the review information related to the washing machine A among the review information stored in the review information storage unit 122.

  The evaluation score “3.1” of the review RV12 shown in the review information storage unit 122 in FIG. 7 indicates the evaluation score of the review RV12 before the determination of the evaluation of the review RV12 based on the reaction of the user U2. Note that the evaluation score “3.1” of the review RV12 shown in the review information storage unit 122 in FIG. 7 may be an evaluation score based on the reaction of the user provided with the review RV12 before step S45.

  As illustrated in FIG. 7, the page W10 is displayed on the terminal device 10 to which the information regarding the review RV12 is provided. Specifically, the terminal device 10 displays a page W10 indicating that the target of the review RV12 is “washing machine A” and that the poster is the user U4. The terminal device 10 includes a page W10 including five star marks indicating that the satisfaction degree in the review RV12 is “5” and comments such as “Don't worry when the sound is quiet and washing late at night ...”. Is displayed. Thereby, the user U2 considers whether to purchase the washing machine A based on the content of the review RV12. In addition, in the example of FIG. 7, the content of the review RV12 includes a comment indicating the value of the washing machine A that the degree of satisfaction is “5” at the maximum and the sound is small. It shall be.

  Here, a case where the user U2 to whom the information regarding the review RV12 is provided purchases a washing machine B different from the washing machine A within a predetermined period (for example, within one week from step S42) will be described as an example. For example, the terminal device 10 requests purchase from the commercial transaction device 50 in response to an operation by the user U2 (step S43). For example, the terminal device 10 requests the business transaction device 50 to purchase the washing machine B. For example, the terminal device 10 may request the commerce device 50 to purchase the washing machine B when the user U2 selects the washing machine B at the electronic commerce site provided by the commerce device 50 displayed on the screen. .

  The commercial transaction apparatus 50 that has received the purchase request for the washing machine B from the user U2 in step S43 performs the purchase process for the washing machine B. For example, the commercial transaction device 50 performs a purchase settlement process for the washing machine B, and delivers the washing machine B to the registered (input) address of the user U2.

  The commercial transaction device 50 provides purchase information to the determination device 100 (step S44). For example, the commercial transaction apparatus 50 provides information indicating that the user U2 has purchased the washing machine B to the determination apparatus 100 as purchase information.

  The determination device 100 that has acquired the purchase information from the commercial transaction device 50 determines review evaluation based on the acquired purchase information (step S45). For example, the determination apparatus 100 reduces (lowers) the evaluation of the review RV 12 based on the acquired purchase information. In the example of FIG. 7, the user U2 purchases the washing machine B different from the washing machine A within a predetermined period after the user U2 browses the review RV12 that is favorable for the washing machine A. Therefore, the determination apparatus 100 reduces (lowers) the evaluation of the review RV12 on the assumption that the content of the review RV12 is not appropriate. That is, the determination apparatus 100 reduces (lowers) the evaluation of the review RV12 on the assumption that the user U2 who has viewed the review RV12 has a negative reaction with respect to the review RV12. Here, the “negative reaction” means a reaction opposite to the user's reaction (positive reaction) assumed from the content of the review. For example, the user U2 who has viewed the review RV12, which is a favorable content about the washing machine A, is expected to take an action that leads to the profit of the provider that provides the washing machine A, but has purchased another washing machine B. This is the opposite of the expected user response.

  Specifically, the determination device 100 reduces the evaluation score of the review RV12 from “3.1” to “2.1”. For example, the determination apparatus 100 reduces the evaluation score of the review RV12 from “3.1” to “2.1” by subtracting 1 from the evaluation score of the review RV12. Note that the above-described decrease in the evaluation score is an example, and the determining apparatus 100 may determine how much the evaluation score of the review RV 12 is to be decreased using various information as appropriate.

  As described above, in the example of FIG. 7, the determination apparatus 100 reduces the evaluation score of the review RV 12 from “3.1” to “2.1” as illustrated in the review information storage unit 122-3. The review information storage unit 122-3 in FIG. 7 shows the state of the review information storage unit 122 after the evaluation of the review RV12 is lowered. The review information storage unit 122 and the review information storage unit 122-3 are the same review information storage unit 122 except for the difference between the stored information.

  As described above, the determination apparatus 100 that has reduced the evaluation of the review RV 12 determines the rank based on the updated evaluation score of each review, as shown in the review information storage unit 122-3. In the example of FIG. 7, as shown in the review information storage unit 122-3, the review RV12 is “2.1” due to a decrease in the evaluation score, and thus is lower than the evaluation score “2.5” of the review RV11. Therefore, the ranking is “4”. Further, as shown in the review information storage unit 122-3, the review RV11 is advanced as the review RV12 rank is lowered, and the review RV11 rank is "3".

  In the example of FIG. 7, the determination device 100 purchases the washing machine B within a predetermined period after the user U2 browses the review RV12 that is favorable for the washing machine A, so the contents of the review RV12 Is determined to be inappropriate. Then, the determination device 100 determines that the review RV12 has a low evaluation because the review RV12 is not useful information for other users than the user U4 who posted the review RV12. Thus, the determination apparatus 100 can appropriately determine the evaluation of the review.

  In the example of FIG. 1 and the example of FIG. 7, the case where the content of the review RV 12 is contradictory between the case where it is appropriate for another user and the case where it is not appropriate is shown. Thus, reviews may be appropriate for some users and not appropriate for other users. For example, in the case of FIG. 1, since the user U1 is a user who performs laundry late at night, the content of the review RV12 is valuable to the user U1 and matches the satisfaction level. Therefore, the review RV12 is an appropriate review for the user U1.

  On the other hand, for example, in the case of FIG. 7, the user U2 is a user who performs laundry during the day, and is a user who feels value in terms of electricity bills, water usage, etc. rather than quietness. For U2, it has no value and does not match the satisfaction level. Therefore, the review RV12 is a review that is not appropriate for the user U2.

  In the above-described example, only the reaction of the user U1 and the user U2 is a reaction, but the determination apparatus 100 determines the review evaluation based on the reactions after review review of a large number of users (for example, 100,000). Can be determined appropriately. That is, the determination apparatus 100 can appropriately determine the evaluation of the review in accordance with the tendency of the entire user who receives the review providing service.

  Moreover, although the example of FIG. 7 showed the case where evaluation of a review is reduced according to the negative reaction of the user with respect to the review of the favorable content with respect to object, the determination apparatus 100 is against unfavorable review. Depending on the negative response of the user, the review rating may be determined. This point will be described in detail. Here, the determination device 100 is not based on a response to a review (non-favorable review) in which the satisfaction degree is “2” for the target washing machine A and the comment is “high electricity bill ...”. Explain the case of deciding to evaluate a favorable review.

  For example, when the determination apparatus 100 transmits a non-favorite review about the washing machine A to the terminal apparatus 10 used by a predetermined user, the non-favorable review is displayed on the terminal apparatus 10 used by the predetermined user. Specifically, the terminal device 10 used by a predetermined user includes five stars or “electricity” indicating that the object of unfavorable review is the washing machine A, and the satisfaction level is “2”. A page that includes a comment such as “You ’re expensive” is displayed.

  From here, the case where the predetermined user to whom the unfavorable review about the washing machine A was provided purchased the washing machine A within a predetermined period (for example, within one week) will be described as an example. Here, it is assumed that the determination device 100 has already acquired purchase information indicating that a predetermined user has purchased the washing machine A from, for example, the commercial transaction device 50.

  The determination device 100 that has acquired the purchase information indicating that the predetermined user who has been provided with information regarding the unfavorable review of the washing machine A has purchased the washing machine A is provided with the information about the washing machine A based on the acquired purchase information. Determine the rating of unfavorable reviews. For example, the determination apparatus 100 reduces (lowers) the evaluation of the unfavorable review for the washing machine A based on the acquired purchase information. In this case, since the predetermined user has purchased the washing machine A within a predetermined period after viewing the unfavorable review that is not favorable for the washing machine A, the determination apparatus 100 determines the washing machine A. If the content of the non-favorite review is inappropriate, the evaluation of the non-favorite review on the washing machine A is lowered (lowered). Specifically, when the evaluation score of the unfavorable review for the washing machine A is “3”, the determination device 100 decreases the value to “2”. Note that the above-described decrease in the evaluation score is merely an example, and the determining apparatus 100 may determine how much the evaluation score for the unfavorable review is to be decreased using various information as appropriate.

  The determination device 100 reduces the evaluation of the unfavorable review based on various types of information, in the case of reducing the evaluation of the unfavorable review according to the reaction to the unfavorable review. Also good.

[5. effect〕
As described above, the determination device 100 according to the embodiment includes the acquisition unit 131 and the determination unit 132. The acquisition unit 131 acquires information related to another user's reaction to the review posted by the user on the target. The determination unit 132 determines the evaluation related to the review based on the information regarding the other user's reaction to the review acquired by the acquisition unit 131.

  Thereby, the determination apparatus 100 according to the embodiment can appropriately determine the evaluation of the review based on the information on the other user's reaction to the review.

  Moreover, in the determination apparatus 100 according to the embodiment, the acquisition unit 131 acquires information on the behavior of another user after viewing the review as information on the other user's reaction to the review. The determination unit 132 determines the evaluation regarding the review based on the information regarding the behavior of the other user after the review is browsed.

  Thereby, the determination apparatus 100 according to the embodiment can appropriately determine the evaluation of the review based on the information on the behavior of the other user after the review is browsed.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 performs an action that leads to the profit of the provider that provides the target by another user after browsing the review that is content favorable to the target. If so, raise the rating for the review.

  Thereby, the determination apparatus 100 according to the embodiment relates to the review when the other user performs an action that leads to the benefit of the provider that provides the target after browsing the review that is content favorable to the target. By raising the evaluation, the review evaluation can be appropriately determined.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 increases the evaluation regarding the review when another user purchases the target after browsing the review that is content favorable to the target.

  Thereby, the determination apparatus 100 according to the embodiment evaluates the review by increasing the evaluation regarding the review when another user purchases the target after browsing the review that is content favorable to the target. Can be determined appropriately.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 performs an action of reducing the profit of the provider that provides the target by another user after browsing the review that is content favorable to the target. If so, lower the rating for reviews.

  Thereby, the determination apparatus 100 according to the embodiment performs the review when another user performs an action to reduce the profit of the provider that provides the target after browsing the review that is content favorable to the target. By lowering the evaluation regarding the review, the evaluation of the review can be appropriately determined.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 evaluates the review when another user purchases a product similar to the target after browsing the review that is not favorable to the target. make low.

  Thereby, the determination apparatus 100 according to the embodiment reduces the evaluation regarding the review when another user purchases a product similar to the target after browsing the review that is content favorable to the target. Review assessment can be determined appropriately.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 evaluates the review when another user cancels the target purchase schedule after viewing the review that is favorable to the target. make low.

  Thereby, the decision device 100 according to the embodiment reduces the evaluation related to the review when another user cancels the target purchase schedule after viewing the review that is favorable to the target. Review assessment can be determined appropriately.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 does not perform an action that leads to the benefit of the provider that provides the target to the other user after browsing the review that is not favorable to the target. If so, raise the rating for the review.

  Thereby, the determination apparatus 100 according to the embodiment, when viewing a review that is content that is not favorable to the target, when other users do not perform an action that leads to the benefit of the provider providing the target, By raising the evaluation regarding the review, the evaluation of the review can be appropriately determined.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 relates to the review when another user does not purchase the target in a predetermined period after browsing the review, which is content that is not favorable to the target. Increase the evaluation.

  Thereby, the determination apparatus 100 which concerns on embodiment makes evaluation regarding a review high, when the other user does not purchase an object in the predetermined period after the review of the review which is the content which is not favorable with respect to an object. Thus, the evaluation of the review can be appropriately determined.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 performs an action of reducing the profit of the provider that provides the target to the other user after browsing the review that is not favorable to the target. If so, raise the rating for the review.

  Thereby, the determination apparatus 100 according to the embodiment performs a review when another user performs an action to reduce the profit of the provider that provides the target after viewing the review that is not favorable to the target. By raising the evaluation regarding the review, the evaluation of the review can be appropriately determined.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 evaluates the review when another user purchases a product similar to the target after browsing the review that is not favorable to the target. Make it high.

  Thereby, the determination apparatus 100 according to the embodiment increases the evaluation related to the review when another user purchases a product similar to the target after browsing the review that is not favorable to the target. Review assessment can be determined appropriately.

  Further, in the determination device 100 according to the embodiment, the determination unit 132 evaluates the review when another user cancels the target purchase schedule after viewing the review that is not favorable to the target. Make it high.

  Thereby, the determination apparatus 100 according to the embodiment increases the evaluation related to the review when another user cancels the target purchase schedule after viewing the review that is not favorable to the target. Review assessment can be determined appropriately.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 performs an action that leads to the benefit of the provider that provides the target to the other user after browsing the review that is not favorable to the target. If so, lower the rating for the review.

  Thereby, the determination apparatus 100 according to the embodiment relates to a review when another user performs an action that leads to the benefit of the provider who provides the target after browsing the review that is content that is not favorable to the target. By lowering the rating, the review rating can be appropriately determined.

  Moreover, in the determination apparatus 100 according to the embodiment, the determination unit 132 lowers the evaluation regarding the review when another user purchases the target after browsing the review that is not favorable to the target.

  Thereby, the decision device 100 according to the embodiment evaluates the review by lowering the review-related evaluation when another user purchases the target after viewing the review that is not favorable to the target. Can be determined appropriately.

  In addition, the determination device 100 according to the embodiment includes a providing unit 133. The providing unit 133 provides a review-related service based on the review-related evaluation determined by the determining unit 132.

  Thereby, the determination apparatus 100 which concerns on embodiment can provide the service regarding a review appropriately by providing the service regarding a review based on the evaluation regarding a review.

  In the determination device 100 according to the embodiment, the providing unit 133 provides review list information displayed in a rank based on the evaluation related to the review determined by the determination unit 132.

  Thereby, the determination apparatus 100 which concerns on embodiment can provide the service regarding a review appropriately by providing the review list information displayed in the order based on the evaluation regarding a review.

  Moreover, in the determination apparatus 100 according to the embodiment, the providing unit 133 provides a predetermined reward to a user who has posted a review in which the evaluation determined by the determining unit 132 satisfies a predetermined condition.

  Thereby, the determination apparatus 100 which concerns on embodiment can give a user the motivation to post the appropriate review regarding an object.

[6. Hardware configuration)
The determination apparatus 100 according to the embodiment described above is realized by a computer 1000 having a configuration as illustrated in FIG. 8, for example. FIG. 8 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the determination apparatus. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD (Hard Disk Drive) 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and provides the data generated by the CPU 1100 to other devices via the network N.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the determination device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

  Although the embodiments of the present application have been described in detail with reference to the drawings, these are merely examples, and various modifications and improvements have been made based on the knowledge of those skilled in the art including the aspects described in the disclosure line of the invention. The present invention can be implemented in other forms.

[7. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  Further, the above-described embodiments can be appropriately combined within a range in which processing contents are not contradictory.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Determination system 100 Determination apparatus 121 User information storage part 122 Review information storage part 130 Control part 131 Acquisition part 132 Determination part 133 Provision part 10 Terminal apparatus 50 Commercial transaction apparatus N Network

Claims (19)

An acquisition unit for acquiring information about a user's reaction to a review posted by a user on a target;
A determination unit for determining an evaluation on the review based on information on a response of another user to the review acquired by the acquisition unit;
A determination apparatus comprising: The acquisition unit
As information on other user's reaction to the review, obtain information on the behavior of the other user after viewing the review,
The determination unit
The determination device according to claim 1, wherein an evaluation related to the review is determined based on information related to the behavior of the other user after the review is browsed. The determination unit
After viewing the review, which is content favorable to the target, when the other user performs an action that leads to the interest of the provider providing the target, the evaluation regarding the review is increased. The determination device according to claim 2. The determination unit
4. The determination device according to claim 3, wherein when the other user purchases the target after browsing the review which is content favorable to the target, the evaluation regarding the review is increased. 5. . The determination unit
After viewing the review, which is content favorable to the target, if the other user performs an action that reduces the profit of the provider providing the target, the evaluation regarding the review is lowered. The determination apparatus according to any one of claims 2 to 4, wherein the determination apparatus is characterized in that: The determination unit
The review related to the review is lowered when the other user purchases a product similar to the target after browsing the review which is content favorable to the target. The determination device described. The determination unit
6. The review related to the review is lowered when the other user cancels the purchase schedule of the target after browsing the review, which is content favorable to the target. The determination device according to claim 6. The determination unit
After viewing the review, which is content that is not favorable to the target, if the other user does not perform an action that leads to the benefit of the provider providing the target, the evaluation regarding the review is increased. The determination apparatus according to any one of claims 2 to 7, wherein the determination apparatus is characterized in that: The determination unit
The evaluation regarding the review is increased when the other user does not purchase the target in a predetermined period after the review of the review, which is content that is not favorable to the target. 8. The determination device according to 7. The determination unit
After viewing the review, which is content that is not favorable to the target, if the other user performs an action that reduces the profit of the provider providing the target, the evaluation regarding the review is increased. The determination apparatus according to any one of claims 2 to 9, wherein the determination apparatus is characterized in that: The determination unit
The said review is made high when the said other user purchases the goods similar to the said object after browsing the said review which is the content unfavorable with respect to the said object. The determination device described. The determination unit
The said review is made high when the said other user cancels the purchase plan of the said object after browsing the said review which is the content which is not favorable with respect to the said object. The determination device described. The determination unit
After viewing the review, which is content that is not favorable to the target, when the other user performs an action that leads to the benefit of the provider providing the target, the evaluation regarding the review is lowered. The determination apparatus according to any one of claims 2 to 12. The determination unit
The determination apparatus according to claim 13, wherein when the other user purchases the target after browsing the review, which is content that is not favorable to the target, the evaluation regarding the review is lowered. . A providing unit for providing a service relating to the review based on the evaluation relating to the review determined by the determining unit;
The determination apparatus according to claim 1, further comprising: The providing unit includes:
The determination apparatus according to claim 15, wherein the review list information displayed in an order based on the evaluation related to the review determined by the determination unit is provided. The providing unit includes:
The determination apparatus according to claim 15 or 16, wherein a predetermined reward is provided to a user who has posted the review whose evaluation determined by the determination unit satisfies a predetermined condition. A decision method performed by a computer,
An acquisition step of acquiring information about a user's reaction to a review that the user has posted against the subject;
A determination step of determining an evaluation relating to the review based on information relating to another user's response to the review acquired by the acquisition step;
A determination method characterized by comprising: An acquisition procedure to obtain information about other users' responses to reviews submitted by users to the subject;
A determination procedure for determining an evaluation relating to the review based on information relating to other user responses to the review acquired by the acquisition procedure;
A determination program characterized by causing a computer to execute.

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