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CN105677831B - Method and device for determining recommended merchants - Google Patents

Method and device for determining recommended merchants Download PDF

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CN105677831B
CN105677831B CN201610003776.8A CN201610003776A CN105677831B CN 105677831 B CN105677831 B CN 105677831B CN 201610003776 A CN201610003776 A CN 201610003776A CN 105677831 B CN105677831 B CN 105677831B
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乐建军
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Lazas Network Technology Shanghai Co Ltd
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Abstract

本发明实施例公开了一种确定推荐商户的方法及装置。本发明实施例中，接收用户端发送的登录请求消息，并根据用户端的位置信息确定目标区域以及与目标区域对应的各个商户，根据历史订单信息，确定各个商户的评分值，并按照评分值由大到小的顺序对所述各个商户进行排序，将排名靠前的N个商户确定为推荐商户。本发明实施例首先确定目标区域以及目标区域对应的各个商户，从而使得确定出的商户均为可为该用户提供服务的有效商户，进一步地，根据商户的历史订单信息以及用户的订单信息两个方面来确定商户的评分值，充分考虑了商户的情况以及用户的主观情况，使得确定出的推荐商户更符合用户的需求，能够方便用户的消费。

Figure 201610003776

The embodiment of the present invention discloses a method and a device for determining a recommended merchant. In the embodiment of the present invention, the login request message sent by the client is received, the target area and each merchant corresponding to the target area are determined according to the location information of the client, the score value of each merchant is determined according to the historical order information, and the score is determined by The merchants are sorted in descending order, and the top N merchants are determined as recommended merchants. The embodiment of the present invention first determines the target area and each merchant corresponding to the target area, so that the determined merchants are all valid merchants that can provide services for the user. Further, according to the historical order information of the merchant and the user's order information In order to determine the merchant's rating value, the merchant's situation and the user's subjective situation are fully considered, so that the determined recommended merchant is more in line with the user's needs and can facilitate the user's consumption.

Figure 201610003776

Description

Method and device for determining recommended merchants
Technical Field
The invention relates to the technical field of data mining, in particular to a method and a device for determining recommended merchants.
Background
With the rapid development of the internet, online shopping has increasingly penetrated into the lives of people. In order to meet the shopping needs of people and promote the consumption of people, when a user logs in an online shopping page, merchants meeting the needs of the user are usually recommended to the user for the user to select.
The existing intelligent recommendation system generally determines a merchant recommended to a user according to conditions of the merchant, such as sales volume of the merchant, quality of the merchant, and the like. However, for a particular type of merchant, a restaurant, has strict geographical constraints on the objects it serves, i.e., each restaurant has its defined delivery area, and for users outside the delivery area, the restaurant cannot serve it. At this time, even if the restaurant is recommended to the user, it belongs to an invalid recommendation. In addition, the existing recommendation method only recommends to the user according to the condition of the restaurant, and the problems that the restaurant recommended to the user is not accordant with the ordinary consumption habit of the user and the like are caused.
In summary, there is a need for an effective method for determining recommended merchants, so as to recommend merchants meeting user requirements for users, and facilitate consumption of users.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining recommended merchants, which are used for solving the technical problem that the recommended merchants determined in the prior art cannot effectively meet the requirements of users.
The embodiment of the invention provides a method for determining recommended merchants, which comprises the following steps:
receiving a login request message sent by a user side; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side;
determining a target area to which the user side belongs and each commercial tenant corresponding to the target area according to the position information of the user side;
determining the credit rating value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user side; historical order information of the user corresponding to the user side is obtained according to the identification information of the user;
and sequencing the merchants according to the sequence of the grading values from large to small, and determining N merchants with the top ranking as recommended merchants to send to the user side.
Preferably, the determining the score value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user side includes:
acquiring historical order information of each merchant in a first set time range; the historical order information comprises grading information, and the grading information of a commercial tenant refers to the original grading value of one or more users to the commercial tenant;
determining a first credit value of each merchant according to the original credit values of one or more users to each merchant;
acquiring historical order information of a user corresponding to the user side within a second set time range and historical order information of each merchant within the second set time range; the historical order information comprises the consumption amount of the historical order;
determining a second credit rating value of each merchant according to the consumption amount of each historical order of the user in the second set time range and the consumption amount of each historical order of each merchant in the second set time range;
and determining the credit value of each merchant according to the first credit value and the second credit value of each merchant.
Preferably, the determining a first value of credit of each merchant according to the raw value of credit of each merchant by one or more users comprises:
determining a first credit value of the ith merchant according to the following formula, i being a positive integer:
Figure BDA0000900140240000031
wherein, PiA first value of credit for the ith merchant; p (i) is the initial value of credit for the ith merchant; p (min) is the minimum value of the initial score values of the merchants; p (max) is the maximum value of the initial credit values of the respective merchants;
determining an initial credit value for the ith merchant according to the following formula:
Figure BDA0000900140240000032
wherein U (j) is the normalized score of the j user to the i merchant; n is the number of users.
Determining a normalized score of the jth user for the ith merchant according to the following formula:
Figure BDA0000900140240000033
wherein u (j) is the original credit value of the jth user to the ith merchant; u (min) is the minimum value in the original scoring values of the jth user to the various merchants; u (max) is the maximum value of the original scoring values of the jth user for the various merchants.
Preferably, the determining the second credit value of each merchant according to the sum of the consumption of each historical order of the user in the second set time range and the sum of the consumption of each historical order of each merchant in the second set time range includes:
determining a second credit value for the ith merchant according to the formula:
Figure BDA0000900140240000034
wherein k (ic) is a second value of credit for the ith merchant; uk (c) is the average value of the consumption amount of the historical orders of the user corresponding to the user terminal in the second set time range; rk (i) is the average value of the consumption amount of the historical orders of the ith merchant in the second set time range.
Preferably, the determining the score value of each merchant according to the first score value and the second score value of each merchant includes:
determining the credit value of the ith merchant according to the following formula, wherein i is a positive integer:
UP(ic)＝Pi*X-k(ic)*Y
wherein up (ic) represents the value of credit of the ith merchant; piA first value of credit for the ith merchant; k (ic) is a second value of credit for the ith merchant; x, Y is the weight value, and X + Y is 1.
The embodiment of the invention provides a device for determining recommended merchants, which comprises:
the receiving module is used for receiving a login request message sent by a user side; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side;
the processing module is used for determining a target area to which the user side belongs and each merchant corresponding to the target area according to the position information of the user side; determining the credit rating value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user side; historical order information of the user corresponding to the user side is obtained according to the identification information of the user;
and the sending module is used for sequencing the merchants according to the sequence of the grading values from large to small, and determining N merchants with the top ranking as recommended merchants to send to the user side.
Preferably, the processing module is specifically configured to:
acquiring historical order information of each merchant in a first set time range; the historical order information comprises grading information, and the grading information of a commercial tenant refers to the original grading value of one or more users to the commercial tenant;
determining a first credit value of each merchant according to the original credit values of one or more users to each merchant;
acquiring historical order information of a user corresponding to the user side within a second set time range and historical order information of each merchant within the second set time range; the historical order information comprises the consumption amount of the historical order;
determining a second credit rating value of each merchant according to the consumption amount of each historical order of the user in the second set time range and the consumption amount of each historical order of each merchant in the second set time range;
and determining the credit value of each merchant according to the first credit value and the second credit value of each merchant.
Preferably, the processing module is specifically configured to:
determining a first credit value of the ith merchant according to the following formula, i being a positive integer:
Figure BDA0000900140240000051
wherein, PiA first value of credit for the ith merchant; p (i) is the initial value of credit for the ith merchant; p (min) is the minimum value of the initial score values of the merchants(ii) a p (max) is the maximum value of the initial credit values of the respective merchants;
determining an initial credit value for the ith merchant according to the following formula:
Figure BDA0000900140240000052
wherein U (j) is the normalized score of the j user to the i merchant; n is the number of users.
Determining a normalized score of the jth user for the ith merchant according to the following formula:
Figure BDA0000900140240000053
wherein u (j) is the original credit value of the jth user to the ith merchant; u (min) is the minimum value in the original scoring values of the jth user to the various merchants; u (max) is the maximum value of the original scoring values of the jth user for the various merchants.
Preferably, the processing module is specifically configured to:
determining a second credit value for the ith merchant according to the formula:
Figure BDA0000900140240000061
wherein k (ic) is a second value of credit for the ith merchant; uk (c) is the average value of the consumption amount of the historical orders of the user corresponding to the user terminal in the second set time range; rk (i) is the average value of the consumption amount of the historical orders of the ith merchant in the second set time range.
Preferably, the processing module is specifically configured to:
determining the credit value of the ith merchant according to the following formula, wherein i is a positive integer:
UP(ic)＝Pi*X-k(ic)*Y
wherein up (ic) represents the value of credit of the ith merchant;Pia first value of credit for the ith merchant; k (ic) is a second value of credit for the ith merchant; x, Y is the weight value, and X + Y is 1.
In the above embodiment of the present invention, a login request message sent by a user side is received; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side; determining a target area to which the user terminal belongs and each merchant corresponding to the target area according to the position information of the user terminal, and determining the score value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user terminal; and sequencing the merchants according to the grade values of the merchants from high to low, and determining N merchants with the top rank as recommended merchants. According to the embodiment of the invention, the target area and each merchant corresponding to the target area are determined according to the position information of the user terminal, so that the determined merchants are all effective merchants capable of providing services for the user, further, the credit rating value of the merchant is determined according to the historical order information of the merchant and the order information of the user, the condition of the merchant and the subjective condition of the user are fully considered, the determined recommended merchant is more in line with the requirements of the user, and the consumption of the user can be facilitated.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic flowchart corresponding to a method for determining a recommended merchant according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an apparatus for determining a recommended merchant according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic flowchart corresponding to a method for determining a recommended merchant according to an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101, receiving a login request message sent by a user side; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side;
step 102, determining a target area to which the user terminal belongs and each merchant corresponding to the target area according to the position information of the user terminal;
103, determining the credit rating value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user side; historical order information of the user corresponding to the user side is obtained according to the identification information of the user;
and 104, sequencing the merchants according to the descending order of the grading values, and determining N merchants with the top ranking as recommended merchants to send to the user side.
According to the embodiment of the invention, the target area and each merchant corresponding to the target area are determined according to the position information of the user terminal, so that all the merchants are effective merchants capable of providing services for the user, furthermore, the credit rating value of the merchant is determined according to the historical order information of the merchant and the order information of the user, the conditions of the merchant and the subjective conditions of the user are fully considered, the determined recommended merchant is more in line with the requirements of the user, and the consumption of the user can be facilitated.
The user side in the embodiment of the invention can be a mobile phone or a computer and other equipment, the user corresponding to the user side refers to a user who logs in by using the user side, and the identification information of the user can be account information or other information for uniquely identifying the user. In the embodiment of the invention, all the merchants corresponding to the determined target area are the same type of merchants, such as restaurants, or other types of merchants.
In step 101, the location information of the user terminal included in the login request message may be obtained according to various manners, for example, by a GPS positioning method, etc.
In the embodiment of the invention, the areas can be divided according to modes of investigation, information collection and the like. The business corresponding to the area refers to a business capable of serving the users in the area. Specifically, if the merchant is a restaurant, the delivery range of the restaurant may be analyzed, if the delivery range of the restaurant covers the area, the restaurant is determined to be the restaurant corresponding to the area, and if the delivery range of the restaurant does not cover the area, the restaurant is not the restaurant corresponding to the area. Specifically, each area and the business corresponding to each area may be specifically defined by those skilled in the art according to actual conditions, or after division of the areas is completed, the business selects the area that can be served by the business according to its own actual conditions, and further determines the business corresponding to each area.
Further, the information of the divided areas, the merchants corresponding to the areas, and the like in the embodiment of the present invention may be stored in a variety of storage formats, such as a database format, which is not limited in the embodiment of the present invention.
Taking the example of storing the above information in the form of a database, the database stores the identification information of the area and the identification information of the merchant corresponding to the area, as shown in table 1.
Table 1: contents of data tables in a database
Figure BDA0000900140240000091
In table 1, the identification information of the area may be represented by the number of the area or other information capable of uniquely identifying the area; the identification information of the merchant may be the merchant name of the merchant or other information representation that uniquely identifies the merchant. Table 1 is merely an example, and in practical applications, additions and deletions may be performed on the basis of table 1 as needed.
In step 102, a target area to which the user terminal belongs is determined according to the location information of the user terminal and the location information of each area in table 1, and then each merchant corresponding to the target area is obtained.
In step 103, historical order information of each merchant in a first set time range is obtained, where the first set time range may be determined by a person skilled in the art according to specific situations, and may be set to be, for example, approximately 3 months or approximately 1 month, and the like. The historical order information comprises grading information, wherein the grading information of a commercial tenant refers to the original grading value of one or more users to the commercial tenant; and determining a first scoring value of each merchant according to the original scoring value of one or more users to each merchant.
Specifically, a first credit value of the ith merchant is determined according to the following formula, i being a positive integer:
Figure BDA0000900140240000092
wherein, PiA first value of credit for the ith merchant; p (i) is the initial value of credit for the ith merchant; p (min) is the minimum value of the initial score values of the merchants; p (max) is the maximum value of the initial credit values of the respective merchants;
determining an initial credit value for the ith merchant according to the following formula:
Figure BDA0000900140240000101
wherein U (j) is the normalized score of the j user to the i merchant; n is the number of users.
Determining a normalized score of the jth user for the ith merchant according to the following formula:
Figure BDA0000900140240000102
wherein u (j) is the original credit value of the jth user to the ith merchant; u (min) is the minimum value in the original scoring values of the jth user to the various merchants; u (max) is the maximum value of the original scoring values of the jth user for the various merchants.
Acquiring historical order information of a user corresponding to the user side within a second set time range and historical order information of each merchant within the second set time range; the second setting time range may be determined by a person skilled in the art according to specific situations, and may be set to be approximately 3 months, or approximately 1 month, for example. The second setting time range may be the same as the first setting time range or different from the first setting time range, and the second setting time range is preferably the same as or similar to the first setting time range in the embodiment of the present invention, so as to make the result more accurate. The historical order information comprises the identification information of the user, the identification information of the merchants and the consumption amount of the historical order, so the historical order information of the user corresponding to the user side can be obtained according to the identification information of the user, and the historical order information of each merchant can be obtained according to the identification information of each merchant.
Further, according to the consumption amount of each historical order of the user in a second set time range and the consumption amount of each historical order of each merchant in the second set time range, a second credit value of each merchant can be determined; specifically, the second credit value of the ith merchant may be determined according to the following formula:
Figure BDA0000900140240000103
wherein k (ic) is a second value of credit for the ith merchant; uk (c) is the average value of the consumption amount of the historical orders of the user corresponding to the user terminal in the second set time range; rk (i) is the average value of the consumption amount of the historical orders of the ith merchant in the second set time range.
In step 104, a credit value of each merchant is determined according to the first credit value and the second credit value of each merchant. Specifically, the credit value of the ith merchant may be determined according to the following formula, i being a positive integer:
UP(ic)＝Pi*X-k(ic)*Y
wherein up (ic) represents the value of credit of the ith merchant; piA first value of credit for the ith merchant; k (ic) is a second value of credit for the ith merchant; x, Y is the weight value, and X + Y is 1.
In the embodiment of the present invention, the characteristics of the merchant preferred by the user may be analyzed according to the historical order information of the user in the second set time range, for example, when the merchant is a restaurant, the taste of the restaurant preferred by the user may be analyzed according to the historical order information, for example, when most of the orders of the user belong to the order of restaurants with light taste are obtained according to the historical order information analysis of the user, the taste of the restaurant preferred by the user is determined to be the light taste, so that the score of the restaurant with light taste may be appropriately increased on the basis of calculating the score, and the specifically increased criteria may be determined by those skilled in the art according to actual conditions.
After the credit rating values of all the merchants are determined in the above manner, the merchants are sorted in the descending order of the credit rating values, and N merchants with the top rank are determined as recommended merchants. After the recommended merchants are determined, the recommended merchants and the credit values of the recommended merchants can be sent to the user side, so that the user side displays the recommended merchants to the user according to the credit values of the recommended merchants from high to low, and the user can select the recommended merchants.
In the above embodiment of the present invention, a login request message sent by a user side is received; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side; determining a target area to which the user terminal belongs and each merchant corresponding to the target area according to the position information of the user terminal, and determining the score value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user terminal; and sequencing the merchants according to the grade values of the merchants from high to low, and determining N merchants with the top rank as recommended merchants. According to the embodiment of the invention, the target area and each merchant corresponding to the target area are determined according to the position information of the user terminal, so that the determined merchants are all effective merchants capable of providing services for the user, further, the credit rating value of the merchant is determined according to the historical order information of the merchant and the order information of the user, the condition of the merchant and the subjective condition of the user are fully considered, the determined recommended merchant is more in line with the requirements of the user, and the consumption of the user can be facilitated.
For the above method flow, an embodiment of the present invention further provides a device for determining recommended merchants, and specific contents of the device may be implemented by referring to the above method, which is not described herein again.
Fig. 2 is a schematic structural diagram of an apparatus for determining a recommended merchant according to an embodiment of the present invention, where the apparatus includes:
a receiving module 201, configured to receive a login request message sent by a user end; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side;
the processing module 202 is configured to determine, according to the location information of the user terminal, a target area to which the user terminal belongs and each merchant corresponding to the target area; determining the credit rating value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user side; historical order information of the user corresponding to the user side is obtained according to the identification information of the user;
the sending module 203 is configured to sort the merchants according to a descending order of the score values, and determine the top N merchants as recommended merchants to send to the user side.
Preferably, the processing module 202 is specifically configured to:
acquiring historical order information of each merchant in a first set time range; the historical order information comprises grading information, and the grading information of a commercial tenant refers to the original grading value of one or more users to the commercial tenant;
determining a first credit value of each merchant according to the original credit values of one or more users to each merchant;
acquiring historical order information of a user corresponding to the user side within a second set time range and historical order information of each merchant within the second set time range; the historical order information comprises the consumption amount of the historical order;
determining a second credit rating value of each merchant according to the consumption amount of each historical order of the user in the second set time range and the consumption amount of each historical order of each merchant in the second set time range;
and determining the credit value of each merchant according to the first credit value and the second credit value of each merchant.
Preferably, the processing module 202 is specifically configured to:
determining a first credit value of the ith merchant according to the following formula, i being a positive integer:
Figure BDA0000900140240000131
wherein, PiA first value of credit for the ith merchant; p (i) is the initial value of credit for the ith merchant; p (min) is the minimum value of the initial score values of the merchants; p (max) is the maximum value of the initial credit values of the respective merchants;
determining an initial credit value for the ith merchant according to the following formula:
Figure BDA0000900140240000132
wherein U (j) is the normalized score of the j user to the i merchant; n is the number of users.
Determining a normalized score of the jth user for the ith merchant according to the following formula:
Figure BDA0000900140240000133
wherein u (j) is the original credit value of the jth user to the ith merchant; u (min) is the minimum value in the original scoring values of the jth user to the various merchants; u (max) is the maximum value of the original scoring values of the jth user for the various merchants.
Preferably, the processing module 202 is specifically configured to:
determining a second credit value for the ith merchant according to the formula:
Figure BDA0000900140240000141
wherein k (ic) is a second value of credit for the ith merchant; uk (c) is the average value of the consumption amount of the historical orders of the user corresponding to the user terminal in the second set time range; rk (i) is the average value of the consumption amount of the historical orders of the ith merchant in the second set time range.
Preferably, the processing module 202 is specifically configured to:
determining the credit value of the ith merchant according to the following formula, wherein i is a positive integer:
UP(ic)＝Pi*X-k(ic)*Y
wherein up (ic) represents the value of credit of the ith merchant; piA first value of credit for the ith merchant; k (ic) is a second value of credit for the ith merchant; x, Y is the weight value, and X + Y is 1.
From the above, it can be seen that: in the above embodiment of the present invention, a login request message sent by a user side is received; the login request message comprises the position information of the user side and the identification information of the user corresponding to the user side; determining a target area to which the user terminal belongs and each merchant corresponding to the target area according to the position information of the user terminal, and determining the score value of each merchant according to the historical order information of each merchant and the historical order information of the user corresponding to the user terminal; and sequencing the merchants according to the grade values of the merchants from high to low, and determining N merchants with the top rank as recommended merchants. According to the embodiment of the invention, the target area and each merchant corresponding to the target area are determined according to the position information of the user terminal, so that the determined merchants are all effective merchants capable of providing services for the user, further, the credit rating value of the merchant is determined according to the historical order information of the merchant and the order information of the user, the condition of the merchant and the subjective condition of the user are fully considered, the determined recommended merchant is more in line with the requirements of the user, and the consumption of the user can be facilitated.
It should be apparent to those skilled in the art that embodiments of the present invention may be provided as a method, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (8)

1.一种确定推荐商户的方法，其特征在于，该方法包括：1. A method for determining a recommended merchant, characterized in that the method comprises: 接收用户端发送的登录请求消息，并从所述登录请求消息中解析得到所述用户端的位置信息和与所述用户端对应的用户的标识信息；receiving a login request message sent by the client, and parsed from the login request message to obtain the location information of the client and the identification information of the user corresponding to the client; 根据所述用户端的位置信息确定所述用户端所属的目标区域以及与所述目标区域对应的各个商户；Determine the target area to which the user terminal belongs and each merchant corresponding to the target area according to the location information of the user terminal; 获取所述各个商户在第一设定时间范围内的历史订单信息，解析所述历史订单信息得到一个或一个以上的用户对所述各个商户的原始评分值，进而根据一个或一个以上的用户对所述各个商户的原始评分值，确定所述各个商户的第一评分值；Obtain the historical order information of each merchant within the first set time range, parse the historical order information to obtain the original score value of one or more users for each merchant, and then analyze the historical order information to obtain the original score value of one or more users for each merchant, and then according to one or more users' ratings the original score value of each merchant, and determine the first score value of each merchant; 根据所述用户端对应的用户的标识信息获取所述用户在第二设定时间范围内的历史订单信息，并获取所述各个商户在第二设定时间范围内的历史订单信息，进而解析所述历史订单信息得到所述历史订单信息所对应的历史订单的消费金额；根据所述用户在所述第二设定时间范围内的各个历史订单的消费金额以及所述各个商户在所述第二设定时间范围内的历史订单的消费金额，确定所述各个商户的第二评分值，包括：Acquire the historical order information of the user within the second set time range according to the identification information of the user corresponding to the user terminal, and obtain the historical order information of each merchant within the second set time range, and then analyze the According to the historical order information, the consumption amount of the historical order corresponding to the historical order information is obtained; according to the consumption amount of each historical order of the user within the second set time range and the The consumption amount of historical orders within the set time range is determined, and the second score value of each merchant is determined, including: 根据以下公式确定第i商户的第二评分值：The second rating value of the i-th merchant is determined according to the following formula:
Figure FDF0000015267970000011
Figure FDF0000015267970000011
 其中，k(ic)为所述第i商户的第二评分值；uk(c)为所述用户端对应的用户在所述第二设定时间范围内的历史订单的消费金额的平均值；rk(i)为所述第i商户在所述第二设定时间范围内的历史订单的消费金额的平均值；Wherein, k(ic) is the second rating value of the i-th merchant; uk(c) is the average value of the consumption amount of the historical orders of the user corresponding to the user terminal within the second set time range; rk(i) is the average value of the consumption amount of the historical orders of the i-th merchant within the second set time range; 根据所述各个商户的第一评分值和第二评分值，确定所述各个商户的评分值，按照评分值由大到小的顺序对所述各个商户进行排序，并将排名靠前的N个商户确定为推荐商户发送给所述用户端。According to the first rating value and the second rating value of each merchant, the rating value of each merchant is determined, and the respective merchants are sorted in descending order of rating value, and the top N The merchant is determined to be a recommended merchant and sent to the client. 2.如权利要求1所述的方法，其特征在于，所述根据一个或一个以上的用户对所述各个商户的原始评分值，确定所述各个商户的第一评分值，包括：2. The method according to claim 1, wherein, determining the first rating value of each merchant according to the original rating value of one or more users to the respective merchants, comprising: 根据以下公式确定第i商户的第一评分值，i为正整数：Determine the first rating value of the i-th merchant according to the following formula, where i is a positive integer:
Figure FDF0000015267970000021
Figure FDF0000015267970000021
 其中，Pi为所述第i商户的第一评分值；p(i)为所述第i商户的初始评分值；p(min)为所述各个商户的初始评分值中的最小值；p(max)为所述各个商户的初始评分值中的最大值；Wherein, P i is the first rating value of the i-th merchant; p(i) is the initial rating value of the i-th merchant; p(min) is the minimum value among the initial rating values of each merchant; p (max) is the maximum value in the initial rating value of each merchant; 根据以下公式确定所述第i商户的初始评分值：The initial rating value of the i-th merchant is determined according to the following formula:
Figure FDF0000015267970000022
Figure FDF0000015267970000022
 其中，U(j)为第j用户对所述第i商户的归一化评分；n为用户个数；Wherein, U(j) is the normalized score of the jth user to the ith merchant; n is the number of users; 根据以下公式确定所述第j用户对所述第i商户的归一化评分：The normalized score of the jth user to the ith merchant is determined according to the following formula:
Figure FDF0000015267970000023
Figure FDF0000015267970000023
 其中，u(j)为所述第j用户对所述第i商户的原始评分值；u(min)为所述第j用户对所述各个商户的原始评分值中的最小值；u(max)为所述第j用户对所述各个商户的原始评分值中的最大值。Wherein, u(j) is the original rating value of the jth user for the i-th merchant; u(min) is the minimum value among the original rating values of the jth user for the respective merchants; u(max ) is the maximum value among the original rating values of the jth user for the respective merchants. 3.如权利要求1所述的方法，其特征在于，所述根据所述各个商户的第一评分值和第二评分值，确定所述各个商户的评分值，包括：3. The method according to claim 1, wherein, determining the rating value of each merchant according to the first rating value and the second rating value of each merchant, comprising: 根据以下公式确定第i商户的评分值，i为正整数：Determine the rating value of the i-th merchant according to the following formula, where i is a positive integer: UP(ic)＝Pi*X-k(ic)*YUP(ic)=P i *Xk(ic)*Y 其中，UP(ic)表示所述第i商户的评分值；Pi为所述第i商户的第一评分值；k(ic)为所述第i商户的第二评分值；X、Y为权重值，且X+Y＝1。Wherein, UP(ic) represents the rating value of the i-th merchant; P i is the first rating value of the i-th merchant; k(ic) is the second rating value of the i-th merchant; X and Y are weight value, and X+Y=1. 4.一种确定推荐商户的装置，其特征在于，该装置包括：4. A device for determining a recommended merchant, characterized in that the device comprises: 接收模块，用于接收用户端发送的登录请求消息，并从所述登录请求消息中解析得到所述用户端的位置信息和与所述用户端对应的用户的标识信息；a receiving module, configured to receive the login request message sent by the client, and parse the location information of the client and the identification information of the user corresponding to the client from the login request message; 处理模块，用于根据所述用户端的位置信息确定所述用户端所属的目标区域以及与所述目标区域对应的各个商户；获取所述各个商户在第一设定时间范围内的历史订单信息，解析所述历史订单信息得到一个或一个以上的用户对所述各个商户的原始评分值，进而根据一个或一个以上的用户对所述各个商户的原始评分值，确定所述各个商户的第一评分值；以及，根据所述用户端对应的用户的标识信息获取所述用户在第二设定时间范围内的历史订单信息，并获取所述各个商户在第二设定时间范围内的历史订单信息，进而解析所述历史订单信息得到所述历史订单信息所对应的历史订单的消费金额；根据所述用户在所述第二设定时间范围内的各个历史订单的消费金额以及所述各个商户在所述第二设定时间范围内的历史订单的消费金额，确定所述各个商户的第二评分值，并根据所述各个商户的第一评分值和第二评分值，确定所述各个商户的评分值；其中，所述处理模块具体用于：a processing module, configured to determine the target area to which the user terminal belongs and each merchant corresponding to the target area according to the location information of the user terminal; obtain the historical order information of the each merchant within the first set time range, Parsing the historical order information to obtain the original rating values of one or more users for the respective merchants, and then determining the first rating of the respective merchants according to the original rating values of the one or more users for the respective merchants and, obtaining the historical order information of the user within the second set time range according to the identification information of the user corresponding to the user terminal, and obtaining the historical order information of the respective merchants within the second set time range , and then analyze the historical order information to obtain the consumption amount of the historical order corresponding to the historical order information; The consumption amount of the historical orders within the second set time range, determine the second rating value of each merchant, and determine the respective merchant's Scoring value; wherein, the processing module is specifically used for: 根据以下公式确定第i商户的第二评分值：The second rating value of the i-th merchant is determined according to the following formula:
Figure FDF0000015267970000031
Figure FDF0000015267970000031
 其中，k(ic)为所述第i商户的第二评分值；uk(c)为所述用户端对应的用户在所述第二设定时间范围内的历史订单的消费金额的平均值；rk(i)为所述第i商户在所述第二设定时间范围内的历史订单的消费金额的平均值；Wherein, k(ic) is the second rating value of the i-th merchant; uk(c) is the average value of the consumption amount of the historical orders of the user corresponding to the user terminal within the second set time range; rk(i) is the average value of the consumption amount of the historical orders of the i-th merchant within the second set time range; 发送模块，用于按照评分值由大到小的顺序对所述各个商户进行排序，将排名靠前的N个商户确定为推荐商户发送给所述用户端。The sending module is configured to sort the merchants in descending order of the rating values, and determine the top N merchants as recommended merchants and send them to the user terminal. 5.如权利要求4所述的装置，其特征在于，所述处理模块具体用于：5. The apparatus according to claim 4, wherein the processing module is specifically configured to: 根据以下公式确定第i商户的第一评分值，i为正整数：Determine the first rating value of the i-th merchant according to the following formula, where i is a positive integer:
Figure FDF0000015267970000032
Figure FDF0000015267970000032
 其中，Pi为所述第i商户的第一评分值；p(i)为所述第i商户的初始评分值；p(min)为所述各个商户的初始评分值中的最小值；p(max)为所述各个商户的初始评分值中的最大值；Wherein, P i is the first rating value of the i-th merchant; p(i) is the initial rating value of the i-th merchant; p(min) is the minimum value among the initial rating values of each merchant; p (max) is the maximum value in the initial rating value of each merchant; 根据以下公式确定所述第i商户的初始评分值：The initial rating value of the i-th merchant is determined according to the following formula:
Figure FDF0000015267970000041
Figure FDF0000015267970000041
 其中，U(j)为第j用户对所述第i商户的归一化评分；n为用户个数；Wherein, U(j) is the normalized score of the jth user to the ith merchant; n is the number of users; 根据以下公式确定所述第j用户对所述第i商户的归一化评分：The normalized score of the jth user to the ith merchant is determined according to the following formula:
Figure FDF0000015267970000042
Figure FDF0000015267970000042
 其中，u(j)为所述第j用户对所述第i商户的原始评分值；u(min)为所述第j用户对所述各个商户的原始评分值中的最小值；u(max)为所述第j用户对所述各个商户的原始评分值中的最大值。Wherein, u(j) is the original rating value of the jth user for the i-th merchant; u(min) is the minimum value among the original rating values of the jth user for the respective merchants; u(max ) is the maximum value among the original rating values of the jth user for the respective merchants. 6.如权利要求4所述的装置，其特征在于，所述处理模块具体用于：6. The apparatus of claim 4, wherein the processing module is specifically configured to: 根据以下公式确定第i商户的评分值，i为正整数：Determine the rating value of the i-th merchant according to the following formula, where i is a positive integer: UP(ic)＝Pi*X-k(ic)*YUP(ic)=P i *Xk(ic)*Y 其中，UP(ic)表示所述第i商户的评分值；Pi为所述第i商户的第一评分值；k(ic)为所述第i商户的第二评分值；X、Y为权重值，且X+Y＝1。Wherein, UP(ic) represents the rating value of the i-th merchant; P i is the first rating value of the i-th merchant; k(ic) is the second rating value of the i-th merchant; X and Y are weight value, and X+Y=1. 7.一种计算机可读存储介质，其特征在于，包括指令，当其在计算机上运行时，使得计算机执行如权利要求1至3任一项所述的方法。7. A computer-readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of any one of claims 1 to 3. 8.一种计算装置，其特征在于，包括：至少一个处理器,以及与所述至少一个处理器通信连接的存储器；8. A computing device, comprising: at least one processor, and a memory communicatively connected to the at least one processor; 其中，所述存储器存储有可被所述至少一个处理器执行的指令，所述指令被所述至少一个处理器执行，以使所述至少一个处理器能够执行如权利要求1至3中任一权利要求所述的方法。wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to execute any one of claims 1 to 3 The method of the claims.
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