CN108551419A - A kind of information processing method and device - Google Patents
A kind of information processing method and device Download PDFInfo
- Publication number
- CN108551419A CN108551419A CN201810226187.5A CN201810226187A CN108551419A CN 108551419 A CN108551419 A CN 108551419A CN 201810226187 A CN201810226187 A CN 201810226187A CN 108551419 A CN108551419 A CN 108551419A
- Authority
- CN
- China
- Prior art keywords
- group
- information
- shared information
- shared
- content
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000010365 information processing Effects 0.000 title claims abstract description 19
- 238000003672 processing method Methods 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 17
- 238000012545 processing Methods 0.000 claims description 29
- 239000000758 substrate Substances 0.000 claims 1
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012805 post-processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/21—Monitoring or handling of messages
- H04L51/214—Monitoring or handling of messages using selective forwarding
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/56—Unified messaging, e.g. interactions between e-mail, instant messaging or converged IP messaging [CPM]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72484—User interfaces specially adapted for cordless or mobile telephones wherein functions are triggered by incoming communication events
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
- H04W4/08—User group management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/50—Service provisioning or reconfiguring
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Computing Systems (AREA)
- Human Computer Interaction (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a kind of information processing method and device, this method includes：Determine the sharing information for coming from application program；According to certain rule, determines the first group for being matched with the application program, the sharing information is recommended into first group；Alternatively, analyzing the content of the sharing information, the sharing information is recommended into the second group associated with the content according to the content.The method can by the information intelligent that application program receives be sent to in the relevant group of the application program, improve the recommendation efficiency recommended in sharing information to group, it avoids and manually recommends cumbersome, increase the intelligent of the electronic equipment for being equipped with above application program.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to an information processing method and apparatus.
Background
At present, a plurality of application programs installed in electronic equipment such as a mobile phone and the like can acquire various types of information from a network or a local machine, such as e-commerce application programs, communication software or reading software and the like, and can acquire commodity information, news or articles and other information from the network, but when a user wants to share the information, each piece of information to be shared needs to be manually matched into a corresponding group through manual operation, and for example, after the user acquires one piece of commodity information through the e-commerce application program, a family group is manually found in a plurality of different groups, the commodity information can be manually distributed to the family group; if a user obtains a good article through reading software, the user needs to manually find the book friend groups in a plurality of different groups to manually distribute the article to the book friend groups, and the like, so that the distribution mode is time-consuming and labor-consuming, is not intelligent at all, and has no humanized design.
Disclosure of Invention
The embodiment of the invention aims to provide an information processing method and an information processing device, and the method can accurately send information received by an application program to a group related to the application program, so that the intelligence of electronic equipment is improved.
In order to solve the technical problem, the embodiment of the invention adopts the following technical scheme: an information processing method comprising:
determining shared information from an application;
determining a first group matched with the application program according to a certain rule, and recommending the shared information to the first group; or,
and analyzing the content of the sharing information, and recommending the sharing information to a second group associated with the content according to the content.
Preferably, the analyzing the content of the shared information and recommending the shared information to a second group associated with the content according to the content includes:
performing semantic recognition on the characteristic information in the shared information;
determining the category of the shared information according to the semantic recognition result;
and recommending the shared information to a second group associated with the category of the shared information according to the category of the shared information.
Preferably, the determining, according to a certain rule, the first group matched with the application program specifically includes:
and if the history operation is known that the sharing information from the application program is shared to the first group, determining that the sharing information from the application program has a matching relationship with the first group.
Preferably, the determining, according to a certain rule, the first group matching the application further includes:
sorting the plurality of groups according to the degree of association with the application program;
and recommending the sharing information to the first group according to the sorting result.
Preferably, the method further comprises:
determining a first group matched with the application program, and generating prompt information to prompt the recommended first group to send the sharing information; or,
arranging the recommended first group in the front bit order of the list or highlighting.
Preferably, the method further comprises:
determining attributes or preferences of the group;
and recommending the shared information to a first group or a second group matched with the attribute or the preference according to the application program of the shared information source or the content of the shared information.
Preferably, wherein
The attributes or preferences of the group are determined based on the attribute notes of the group or based on the type of group history message.
The embodiment of the application also provides an information processing device, which comprises a judging module and a processing module;
the judging module is configured to determine sharing information sent by an application program;
the processing module is configured to determine a first group matched with the application program according to a certain rule, and recommend the shared information to the first group; or,
and analyzing the content of the sharing information, and recommending the sharing information to a second group associated with the content according to the content.
Preferably, the processing module is further configured to:
performing semantic recognition on the characteristic information in the shared information;
determining the category of the shared information according to the semantic recognition result;
and recommending the shared information to a second group associated with the category of the shared information according to the category of the shared information.
Preferably, the processing module is further configured to: and if the history operation is known that the sharing information from the application program is shared to the first group, determining that the sharing information from the application program has a matching relationship with the first group.
Preferably, the device further comprises a prompting module, wherein the prompting module is configured to generate prompting information to prompt the recommended first group to send the sharing information when the processing module determines that the first group of the application program is matched with the recommended first group; alternatively, the first group that is recommended is arranged in the front order of the list or highlighted.
An embodiment of the present application further provides an electronic device, including a memory and a processor, where an executable program is stored in the memory, and the processor executes the executable program and then executes the following steps:
determining sharing information sent by an application program;
determining a first group matched with the application program according to a certain rule, and recommending the shared information to the first group; or,
and analyzing the content of the sharing information, and recommending the sharing information to a second group associated with the content according to the content.
The embodiment of the invention has the beneficial effects that: the method can intelligently send the information received by the application program to the group related to the application program, improves the recommendation efficiency of recommending and sharing the information to the group, avoids the complexity of manual recommendation, and increases the intelligence of the electronic equipment provided with the application program.
Drawings
FIG. 1 is a flow chart of an information processing method according to an embodiment of the present application;
FIG. 2 is a flowchart of step S2 in FIG. 1 according to an embodiment of the present application;
FIG. 3 is another flowchart of step S2 in FIG. 1 according to the embodiment of the present application;
FIG. 4 is a flowchart of an embodiment of an information processing method according to the present application;
FIG. 5 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application;
fig. 6 is a schematic diagram illustrating a change process of a recommended group in the list of groups in the interface according to the embodiment of the present application.
Description of the reference numerals
1-information processing device 2-judging module 3-processing module
4-application 5-group
Detailed Description
Various aspects and features of the present invention are described herein with reference to the drawings.
It will be understood that various modifications may be made to the embodiments of the invention herein. Accordingly, the foregoing description should not be construed as limiting, but merely as exemplifications of embodiments. Other modifications will occur to those skilled in the art which are within the scope and spirit of the invention.
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with a general description of the invention given above, and the detailed description of the embodiments given below, serve to explain the principles of the invention.
These and other characteristics of the invention will become apparent from the following description of a preferred form of embodiment, given as a non-limiting example, with reference to the accompanying drawings.
It should also be understood that, although the invention has been described with reference to some specific examples, a person of skill in the art shall certainly be able to achieve many other equivalent forms of the invention, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.
The above and other aspects, features and advantages of the present invention will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present invention are described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely exemplary of the invention, which can be embodied in various forms. Well-known and/or repeated functions and constructions are not described in detail to avoid obscuring the invention in unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present invention in virtually any appropriately detailed structure.
The specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the invention.
The information processing method has the humanized and intelligent processing characteristic, can automatically recommend the acquired sharing information to the group 5 corresponding to the sharing information, avoids the manual searching of the group 5 corresponding to the sharing information in a plurality of groups 5 for recommendation, and improves the efficiency and the accuracy. The method can be applied to a plurality of fields, such as intelligent devices of mobile phones, tablets, computers and the like, and as shown in figure 1, the method comprises the following steps:
s1, the shared information from the application 4 is determined. The application 4 may be installed on an electronic device such as a mobile phone, and the application 4 may be various types of programs such as e-commerce software, communication software, or social software, and may receive various types of information sent from other terminals or servers, for example, when the application 4 is e-commerce software, detailed information of a plurality of commodities may be obtained from the server and displayed on the electronic device such as the mobile phone. After the application program 4 acquires the plurality of pieces of information, all or part of the information can be shared to form shared information, and the process of determining the shared information to be shared in the plurality of pieces of information can be realized according to a preset rule or in a manual intervention mode. For example, some information received by the e-commerce software is determined as shared information, or information with specific content is determined as shared information, or information selected by the user is determined as shared information, and so on.
S2, determining a first group matched with the application program 4 according to a certain rule, and recommending the sharing information to the first group; or analyzing the content of the shared information, and recommending the shared information to a second group associated with the content according to the content. The above-described certain rule may be reset as needed, or may be switched among a plurality of already-set first specifications, so that the rule is determined according to the actual usage scenario, and after the rule is determined, the first group matching the application program 4 is determined according to the rule. For example, each application 4 is matched with each group 5 in advance, and the rule may recommend the shared information to the first group matched with the application 4; or the same application 4 is matched with a plurality of groups 5, and the rule can recommend the shared information to a plurality of first groups matched with the application 4. In addition, the group 5 can be flexibly arranged in a plurality of places, such as in the application 4 or in a second application 4 different from the application 4, the group 5 enables the user to perform social activities, such as classmates, family groups, book-friends groups, financing groups, and the like, and the first group can be selected from the plurality of groups 5. The following description is given with reference to a specific example, when an article from a reading program needs to be shared, the article is shared information, and the rule is to determine that the first group is a book friend group matched with the reading program, so that the shared article is recommended to the book friend group; when the commodity information from the e-commerce software needs to be shared, the rule is to determine that the first group is a family group matched with the e-commerce software, so that the commodity information is recommended to the family group. In addition, the sharing information can also be recommended to the second group associated with the content according to the content of the sharing information. For example, the second group is a family group, the family group is associated with the body-building content, and when the shared information relates to the body-building content, the shared information is recommended to the family group. In addition, the content of the shared information needs to be analyzed, and the analysis mode can be performed by analyzing keywords, summaries, or the number of times of occurrence of main words.
Preferably, as shown in fig. 2, the step of analyzing the content of the shared information and recommending the shared information to the second group associated with the content according to the content includes the following steps:
s21, semantically recognizing the feature information in the shared information. The feature information can represent specific features in the shared information, specifically, the feature information can be information (such as a name) of a specific position in the shared information, can also be a keyword of the shared information, and words with a large occurrence number in the shared information can be subjected to semantic recognition on the feature information, so that actual content of the shared information can be acquired more accurately.
And S22, determining the type of the shared information according to the semantic recognition result. In one embodiment, categories of the shared information, such as a movie category, a financial category, a literature category, and the like, may be preset, and when the feature information is recognized semantically, the shared information may be associated with one category according to a recognition result, that is, the category of the shared information is determined.
And S23, recommending the shared information to a second group associated with the type of the shared information according to the type of the shared information. Since different categories are associated with different groups 5, after the category of the shared information is determined, the shared information can be directly recommended to the second group associated with the second group, and of course, the category of the shared information associated with the second group may be varied. For example, the sharing information of the health-preserving category and the sharing information of the commodity category can be associated with the family group, so that the sharing information of the health-preserving category or the commodity category can be directly recommended to the family group without twice recommendation. In one embodiment, each category of the shared information corresponds to one tag, and the shared information can be recommended to the second group according to the tags when the shared information is recommended, so that the recommendation efficiency is improved.
In an embodiment of the present application, the determining the first group matched to the application 4 according to a certain rule specifically includes the following steps: knowing through the history operation that the sharing message from the application 4 was shared to the first group, it is determined that the sharing message from the application 4 has a matching relationship with the first group. The history operation in the present embodiment may be an operation at a prescribed history time point or a prescribed history time period, or the like. In one embodiment, weights may be assigned to various operations in the historical operations, for example, operations at a historical time closer to the current time may be assigned higher weights, and vice versa; if the matching times of the shared information and the group 5 are more in the same time period, the operation in the historical time period can be given a higher weight value, otherwise, the weight value is lower. Therefore, the sharing information of the application program 4 can be accurately matched with the first group, and unreasonable matching is prevented.
In an embodiment of the present application, as shown in fig. 3, the determining the first group matching the application 4 according to a certain rule further includes the following steps:
s24, the groups 5 are sorted according to the degree of association with the application 4. For example, the groups 5 may be sorted in descending order from high to low, that is, the group 5 with higher association with the application 4 is sorted to the front position for selection.
And S25, recommending the sharing information to the first group according to the sorting result. The top group 5 may be selected as the first group when determining the first group, such as selecting the top group 5 as the first group, or selecting the top N groups 5 as the first group, etc.
In one embodiment of the present application, the information processing method further includes the steps of: determining a first group matched with the application program 4, and generating prompt information to prompt the sharing information to be sent to the recommended first group; alternatively, the recommended first group is arranged in the front order of the list or highlighted. Specifically, in conjunction with fig. 6, after determining the first group matching the application 4, the prompt message may be presented in a separate screen (e.g., a prompt box) or in sound in order to prompt the user that the first group has been determined and thus the prompt message is generated. The plurality of groups 5 may be arranged in the form of a list of groups 5, and the first group may also be arranged in the top order of the list or highlighted in order to prompt the user, so that the user may be given a distinct prompt to the already determined first group. If the group 5 includes a classmate group, a finance and economics group, a book and friends group, a card and friends group, a family group, a colleague group and the like in the list, when the first group matched with the application program 4 is determined to be the finance and economics group, the finance and economics group can float to the first position in the list, prompt information is generated nearby the finance and economics group, and the prompt information is displayed in a recommendation word form or an animation form, and meanwhile, sound can be added for emphasis, so that sharing information is recommended to the finance and economics group and a user is prompted to confirm; after the sharing information about the commodity is determined again, and the first group is determined to be the family group, the family group can be floated to the first position in the list, and prompt information is generated near the finance and economics group, such as displaying a recommended word or performing animation, and meanwhile, sound can be added for highlighting to recommend the sharing information to the finance and economics group and prompt the user to confirm.
In one embodiment of the present application, the information processing method further includes the steps of: detecting a third group associated with the first group or the second group; distributing the shared information to a third group when the shared information is recommended to the first group; or when the shared information is distributed to the second group, the shared information is distributed to the third group. For example, the first group is associated with the third group in advance, or the second group is associated with the third group, such as associating a family group with a classmate group, and when the shared information is recommended to the family group, the shared information is also recommended to the classmate group, such as recommending the health information to the associated family group and the classmate group at the same time. Of course, changes or cancellations may be made to group 5 associated with the first group or the second group.
In an embodiment of the present application, as shown in fig. 4, the information processing method further includes the steps of: s3, determine the attributes or preferences of group 5. In one embodiment, the information content from the group 5 may be analyzed, and the attribute or preference of the group 5 may be determined according to the specific information content; in another embodiment, the attributes or preferences of the group 5 may be determined based on the friend information from the group 5, and if most friends in the group 5 always focus on or recommend a financial report, the attributes of the group 5 may be determined to be a financial group.
S4, recommending the shared information to the first group or the second group matching the attribute or the preference according to the application 4 of the shared information source or the content of the shared information. For example, the shared information of the application programs 4 of the source finance class (the information of the application programs 4 from the finance class is mostly information in the aspect of finance) can be recommended to a finance group with a finance attribute, or the shared information with the finance content can be recommended to a finance group with a finance attribute, wherein the attribute or preference of the finance group is matched with the finance information, and the finance is all the property.
Preferably, the attributes or preferences of group 5 are determined based on the attribute notes of group 5 or based on the type of group 5 history messages. An attribute remark such as the name of the group 5, a group remark, a group announcement, etc. may indicate detailed information of the group 5, such as the group 5 named "financial group" whose attribute is in most cases a financial attribute or a preference for financial; the group 5 in which "this group is a financial group" is written in the remark information, and its attribute is most often the financial attribute or preference is financial. Or the attribute or preference of the group 5 can be determined based on the type of the group 5 history message, for example, if the type of the history message is a stock group, but the current type is a finance type, the attribute or preference of the group 5 can be more accurately determined as a stock group. Thereby realizing accurate positioning.
The embodiment of the application further provides an information processing device 1, which can automatically recommend the acquired sharing information to the group 5 corresponding to the sharing information, so that the group 5 corresponding to the sharing information is prevented from being found in a large number of groups 5 in a manual mode for recommendation, and the efficiency and the accuracy are improved. The device can be applied to a plurality of fields, such as intelligent devices of mobile phones, tablets, computers and the like, and comprises a judgment module 2 and a processing module 3 as shown in fig. 5.
The determination module 2 is configured to determine the shared information sent from the application 4. The application 4 may be installed on an electronic device such as a mobile phone, and the application 4 may be various types of programs such as e-commerce software, communication software, or social software, and may receive various types of information sent from other terminals or servers, for example, when the application 4 is e-commerce software, detailed information of a plurality of commodities may be obtained from the server and displayed on the electronic device such as the mobile phone. After the application program 4 acquires the plurality of pieces of information, all or part of the information can be shared to form shared information, and the process of determining the shared information to be shared by the judgment module 2 in the plurality of pieces of information can be realized according to a preset rule or in a manual intervention mode. For example, the determining module 2 determines part of the information received by the e-commerce software as shared information, or determines information with specific content as shared information, or determines information selected by the user as shared information, and so on.
The processing module 3 is configured to determine a first group matched with the application program 4 according to a certain rule, and recommend the shared information to the first group; or analyzing the content of the shared information, and recommending the shared information to a second group associated with the content according to the content. The above-mentioned certain rule may be reset as needed, or may be switched among a plurality of already-set first specifications, so that the rule is determined according to the actual usage scenario, and the rule post-processing module 3 determines the first group matching the application program 4 according to the rule. For example, each application 4 is matched with each group 5 in advance, and the rule may recommend the shared information to the first group matched with the application 4; or the same application 4 is matched with a plurality of groups 5, and the rule can recommend the shared information to a plurality of first groups matched with the application 4. In addition, the group 5 can be flexibly arranged in a plurality of places, such as in the application 4 or in a second application 4 different from the application 4, the group 5 enables the user to perform social activities, such as classmates, family groups, book-friends groups, financing groups, and the like, and the first group can be selected from the plurality of groups 5. The following description is given with reference to a specific example, when an article from a reading program needs to be shared, the article is shared information, and the rule is to determine that the first group is a book friend group matched with the reading program, so that the processing module 3 recommends the shared article to the book friend group; when the commodity information from the e-commerce software needs to be shared, the rule is to determine that the first group is a family group matched with the e-commerce software, so that the processing module 3 recommends the commodity information to the family group. In addition, the processing module 3 may also recommend the sharing information to the second group associated with the content according to the content of the sharing information. For example, the second group is a family group, the family group is associated with the body-building content, and the processing module 3 recommends the shared information to the family group when the shared information relates to the body-building content. In addition, the processing module 3 needs to analyze the content of the shared information, and the analysis may be performed by analyzing keywords, summaries, or the number of times of occurrence of the main words.
Preferably, the processing module 3 is further configured to:
and performing semantic recognition on the feature information in the shared information. The characteristic information may represent specific characteristics in the shared information, specifically, the characteristic information may be information (such as a name) at a specific position in the shared information, or may also be a keyword of the shared information, and words with a high occurrence frequency in the shared information may also be recognized by the processing module 3, so that actual content of the shared information may be known more accurately by performing semantic recognition on the characteristic information.
And determining the category of the shared information according to the semantic recognition result. In one embodiment, categories of the shared information, such as a movie category, a financial category, a literature category, and the like, may be preset, and when the semantic identifies the feature information, the processing module 3 may associate the shared information with one category according to the identification result, that is, determine the category of the shared information.
And recommending the shared information to a second group associated with the category of the shared information according to the category of the shared information. Since different categories are associated with different groups 5, the post-processing module 3, which determines the category of the shared information, can directly recommend the shared information to the second group associated therewith, and certainly, the categories of the shared information associated with the second group may be varied. For example, the processing module 3 may associate the shared information of the health-preserving category and the shared information of the commodity category with the family group, so that the shared information of the health-preserving category or the commodity category may be directly recommended to the family group later without performing two times of recommendation. In one embodiment, each category of the shared information corresponds to one tag, and the processing module 3 can recommend the shared information to the second group according to the tag when recommending the shared information, so that recommendation efficiency is improved.
In one embodiment of the present application, the processing module 3 is further configured to: knowing through the history operation that the sharing message from the application 4 was shared to the first group, it is determined that the sharing message from the application 4 has a matching relationship with the first group. The history operation in the present embodiment may be an operation at a prescribed history time point or a prescribed history time period, or the like. In one embodiment, weights may be assigned to various operations in the historical operations, for example, operations at a historical time closer to the current time may be assigned higher weights, and vice versa; if the matching times of the shared information and the group 5 are more in the same time period, the operation in the historical time period can be given a higher weight value, otherwise, the weight value is lower. Therefore, the processing module 3 can accurately match the shared information of the application program 4 with the first group, and unreasonable matching is prevented.
In an embodiment of the present application, the information processing apparatus 1 further includes a prompting module configured to generate a prompting message to prompt sending the sharing information to the recommended first group when the processing module 3 determines that the first group matches the application 4; alternatively, the recommended first group is arranged in the front order of the list or highlighted. Specifically with reference to fig. 6, when the first group matching the application 4 is determined, the prompt module may generate a prompt message to prompt the user that the first group has been determined, and the prompt message may be presented in a separate screen (e.g., a dialog box) or in sound. The plurality of groups 5 may be arranged in the form of a list of groups 5, and the prompting module may also arrange the first group in the head order of the list or highlight it in order to prompt the user, so that the user may be given a clear prompt to the already determined first group. If the group 5 list includes a classmate group, a finance and economics group, a book and friends group, a card and friends group, a family group, a colleague group and the like, when the first group matched with the application program 4 is determined to be the finance and economics group, the prompting module can float the finance and economics group to the first position in the list, and generates prompting information near the finance and economics group, such as displaying a recommended word or displaying in an animation form, and meanwhile, can add sound for emphasis so as to recommend the sharing information to the finance and economics group and prompt a user to confirm; after the sharing information about the commodity is determined again, and the first group is determined to be the family group, the prompting module can float the family group to the first position in the list, and generates prompting information near the financial group, such as displaying a recommended word or performing in an animation mode, and meanwhile, sound can be added for highlighting so as to recommend the sharing information to the financial group and prompt the user to confirm.
The embodiment of the application further provides electronic equipment which can automatically recommend the acquired sharing information to the group 5 corresponding to the sharing information, so that the group 5 corresponding to the sharing information is prevented from being found in a large number of groups 5 in a manual mode to be recommended, and the efficiency and the accuracy are improved. The electronic device can be a mobile phone, a tablet, a computer and the like, and comprises a memory and a processor, wherein an executable program is stored in the memory, and the processor executes the executable program and then executes the following steps:
the shared information sent from the application 4 is determined. The application 4 may be installed on an electronic device such as a mobile phone, and the application 4 may be various types of programs such as e-commerce software, communication software, or social software, and may receive various types of information sent from other terminals or servers, for example, when the application 4 is e-commerce software, detailed information of a plurality of commodities may be obtained from the server and displayed on the electronic device such as the mobile phone. After the application program 4 acquires the plurality of pieces of information, all or part of the information can be shared to form shared information, and the process of determining the shared information to be shared in the plurality of pieces of information can be realized according to a preset rule or in a manual intervention mode. For example, some information received by the e-commerce software is determined as shared information, or information with specific content is determined as shared information, or information selected by the user is determined as shared information, and so on.
Determining a first group matched with the application program 4 according to a certain rule, and recommending the shared information to the first group; or analyzing the content of the shared information, and recommending the shared information to a second group associated with the content according to the content. The above-described certain rule may be reset as needed, or may be switched among a plurality of already-set first specifications, so that the rule is determined according to the actual usage scenario, and after the rule is determined, the first group matching the application program 4 is determined according to the rule. For example, each application 4 is matched with each group 5 in advance, and the rule may recommend the shared information to the first group matched with the application 4; or the same application 4 is matched with a plurality of groups 5, and the rule can recommend the shared information to a plurality of first groups matched with the application 4. In addition, the group 5 can be flexibly arranged in a plurality of places, such as in the application 4 or in a second application 4 different from the application 4, the group 5 enables the user to perform social activities, such as classmates, family groups, book-friends groups, financing groups, and the like, and the first group can be selected from the plurality of groups 5. The following description is given with reference to a specific example, when an article from a reading program needs to be shared, the article is shared information, and the rule is to determine that the first group is a book friend group matched with the reading program, so that the shared article is recommended to the book friend group; when the commodity information from the e-commerce software needs to be shared, the rule is to determine that the first group is a family group matched with the e-commerce software, so that the commodity information is recommended to the family group. In addition, the sharing information can also be recommended to the second group associated with the content according to the content of the sharing information. For example, the second group is a family group, the family group is associated with the body-building content, and when the shared information relates to the body-building content, the shared information is recommended to the family group. In addition, the content of the shared information needs to be analyzed, and the analysis mode can be performed by analyzing keywords, summaries, or the number of times of occurrence of main words.
The above embodiments are only exemplary embodiments of the present invention, and are not intended to limit the present invention, and the scope of the present invention is defined by the claims. Various modifications and equivalents may be made by those skilled in the art within the spirit and scope of the present invention, and such modifications and equivalents should also be considered as falling within the scope of the present invention.
Claims (10)
1. An information processing method comprising:
determining shared information from an application;
determining a first group matched with the application program according to a certain rule, and recommending the shared information to the first group; or,
and analyzing the content of the sharing information, and recommending the sharing information to a second group associated with the content according to the content.
2. The method of claim 1, wherein the analyzing the content of the shared information and recommending the shared information to a second group associated with the content according to the content comprises:
performing semantic recognition on the characteristic information in the shared information;
determining the category of the shared information according to the semantic recognition result;
and recommending the shared information to a second group associated with the category of the shared information according to the category of the shared information.
3. The method of claim 1, wherein determining the first group of applications that matches the application according to a rule comprises: and if the history operation is known that the sharing information from the application program is shared to the first group, determining that the sharing information from the application program has a matching relationship with the first group.
4. The method of claim 1, further comprising:
determining a first group matched with the application program, and generating prompt information to prompt the recommended first group to send the sharing information; or,
arranging the recommended first group in the front bit order of the list or highlighting.
5. The method of claim 1, further comprising:
determining attributes or preferences of the group;
and recommending the shared information to a first group or a second group matched with the attribute or the preference according to the application program of the shared information source or the content of the shared information.
6. The method of claim 5, wherein
The attributes or preferences of the group are determined based on the attribute notes of the group or based on the type of group history message.
7. An information processing apparatus includes a judgment module and a processing module;
the judging module is configured to determine sharing information sent by an application program;
the processing module is configured to determine a first group matched with the application program according to a certain rule, and recommend the shared information to the first group; or,
and analyzing the content of the sharing information, and recommending the sharing information to a second group associated with the content according to the content.
8. The apparatus of claim 7, the processing module further configured to:
performing semantic recognition on the characteristic information in the shared information;
determining the category of the shared information according to the semantic recognition result;
and recommending the shared information to a second group associated with the category of the shared information according to the category of the shared information.
9. The apparatus of claim 7, wherein the first and second electrodes are disposed on opposite sides of the substrate,
the processing module is further configured to: and if the history operation is known that the sharing information from the application program is shared to the first group, determining that the sharing information from the application program has a matching relationship with the first group.
10. The apparatus of claim 7, further comprising a prompt module configured to generate a prompt to prompt the sending of the shared information to the recommended first group when the processing module determines that the first group of the application is matched; alternatively, the first group that is recommended is arranged in the front order of the list or highlighted.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810226187.5A CN108551419A (en) | 2018-03-19 | 2018-03-19 | A kind of information processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810226187.5A CN108551419A (en) | 2018-03-19 | 2018-03-19 | A kind of information processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108551419A true CN108551419A (en) | 2018-09-18 |
Family
ID=63516589
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810226187.5A Pending CN108551419A (en) | 2018-03-19 | 2018-03-19 | A kind of information processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108551419A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109714250A (en) * | 2018-12-28 | 2019-05-03 | 联想(北京)有限公司 | A kind of information processing method and device, electronic equipment |
| CN110134410A (en) * | 2019-05-17 | 2019-08-16 | 北京百度网讯科技有限公司 | Personalized information association method, device and storage medium for cold start user |
| CN113839789A (en) * | 2021-09-10 | 2021-12-24 | 维沃移动通信有限公司 | Information transmission method and device |
| US11481231B2 (en) | 2019-10-02 | 2022-10-25 | Citrix Systems, Inc. | Systems and methods for intelligent application instantiation |
| WO2022246799A1 (en) * | 2021-05-28 | 2022-12-01 | Citrix Systems, Inc. | Systems and methods for configuring application software |
| US11750527B2 (en) | 2019-05-06 | 2023-09-05 | Citrix Systems, Inc. | Method and system for sharing user configuration data between different computing sessions |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101414296A (en) * | 2007-10-15 | 2009-04-22 | 日电（中国）有限公司 | Self-adapting service recommendation equipment and method, self-adapting service recommendation system and method |
| CN102255890A (en) * | 2011-05-30 | 2011-11-23 | 苏宁军 | User recommendation and information interaction system and method |
| CN102546930A (en) * | 2011-12-07 | 2012-07-04 | 北京风灵创景科技有限公司 | Mobile terminal interaction method based on merchant list, and device for the same |
| CN104780191A (en) * | 2014-01-13 | 2015-07-15 | 腾讯科技（深圳）有限公司 | Group information acquiring and sharing methods and group information acquiring and sharing devices |
| US20160103970A1 (en) * | 2013-12-11 | 2016-04-14 | Tencent Technology (Shenzhen) Company Limited | Information sharing method and device |
| CN106302583A (en) * | 2015-05-21 | 2017-01-04 | 腾讯科技（深圳）有限公司 | A kind of information processing method, server and terminal |
| CN106341481A (en) * | 2016-09-21 | 2017-01-18 | 北京小米移动软件有限公司 | Processing method and device of information push and equipment |
| CN107147560A (en) * | 2017-04-12 | 2017-09-08 | 腾讯科技（深圳）有限公司 | Data sharing method and device |
| CN107357889A (en) * | 2017-07-11 | 2017-11-17 | 北京工业大学 | A kind of across social platform picture proposed algorithm based on interior perhaps emotion similitude |
-
2018
- 2018-03-19 CN CN201810226187.5A patent/CN108551419A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101414296A (en) * | 2007-10-15 | 2009-04-22 | 日电（中国）有限公司 | Self-adapting service recommendation equipment and method, self-adapting service recommendation system and method |
| CN102255890A (en) * | 2011-05-30 | 2011-11-23 | 苏宁军 | User recommendation and information interaction system and method |
| CN102546930A (en) * | 2011-12-07 | 2012-07-04 | 北京风灵创景科技有限公司 | Mobile terminal interaction method based on merchant list, and device for the same |
| US20160103970A1 (en) * | 2013-12-11 | 2016-04-14 | Tencent Technology (Shenzhen) Company Limited | Information sharing method and device |
| CN104780191A (en) * | 2014-01-13 | 2015-07-15 | 腾讯科技（深圳）有限公司 | Group information acquiring and sharing methods and group information acquiring and sharing devices |
| CN106302583A (en) * | 2015-05-21 | 2017-01-04 | 腾讯科技（深圳）有限公司 | A kind of information processing method, server and terminal |
| CN106341481A (en) * | 2016-09-21 | 2017-01-18 | 北京小米移动软件有限公司 | Processing method and device of information push and equipment |
| CN107147560A (en) * | 2017-04-12 | 2017-09-08 | 腾讯科技（深圳）有限公司 | Data sharing method and device |
| CN107357889A (en) * | 2017-07-11 | 2017-11-17 | 北京工业大学 | A kind of across social platform picture proposed algorithm based on interior perhaps emotion similitude |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109714250A (en) * | 2018-12-28 | 2019-05-03 | 联想(北京)有限公司 | A kind of information processing method and device, electronic equipment |
| US11750527B2 (en) | 2019-05-06 | 2023-09-05 | Citrix Systems, Inc. | Method and system for sharing user configuration data between different computing sessions |
| CN110134410A (en) * | 2019-05-17 | 2019-08-16 | 北京百度网讯科技有限公司 | Personalized information association method, device and storage medium for cold start user |
| US11481231B2 (en) | 2019-10-02 | 2022-10-25 | Citrix Systems, Inc. | Systems and methods for intelligent application instantiation |
| WO2022246799A1 (en) * | 2021-05-28 | 2022-12-01 | Citrix Systems, Inc. | Systems and methods for configuring application software |
| US11637878B2 (en) | 2021-05-28 | 2023-04-25 | Citrix Systems, Inc. | Systems and methods for configuring application software |
| CN113839789A (en) * | 2021-09-10 | 2021-12-24 | 维沃移动通信有限公司 | Information transmission method and device |
| CN113839789B (en) * | 2021-09-10 | 2024-05-14 | 维沃移动通信有限公司 | Information sending method and device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108551419A (en) | A kind of information processing method and device | |
| CN102648462B (en) | Method and system for managing electronic messages | |
| US10878044B2 (en) | System and method for providing content recommendation service | |
| US20180217972A1 (en) | Populating values in a spreadsheet using semantic cues | |
| CN112241327B (en) | Sharing information processing method, device, storage medium and electronic device | |
| EP3961426A2 (en) | Method and apparatus for recommending document, electronic device and medium | |
| US20180307733A1 (en) | User characteristic extraction method and apparatus, and storage medium | |
| CN107870984A (en) | The method and apparatus for identifying the intention of search term | |
| US20200301973A1 (en) | Personalization Aggregate Content Item Recommendations | |
| US10423651B2 (en) | Analysis of mobile application reviews based on content, reviewer credibility, and temporal and geographic clustering | |
| US20200193056A1 (en) | On Device Personalization of Content to Protect User Privacy | |
| US11748797B2 (en) | System and method for providing recommendations to a target user based upon review and ratings data | |
| CN116955817A (en) | Content recommendation method, device, electronic equipment and storage medium | |
| CN117573982A (en) | Content recommendation methods, devices and equipment | |
| US11151198B1 (en) | Machine-learned disambiguation of user action data | |
| CN112269869B (en) | Keyword query method and device | |
| KR102489137B1 (en) | Apparatus and method for recommending learning process | |
| KR20210016845A (en) | Method for providing curation comprising investment information | |
| CN109829033B (en) | Data display method and terminal equipment | |
| KR20150002409A (en) | Method and apparatus for learning user preference | |
| Kawate et al. | AN APPROACH FOR REVIEWING AND RANKING THE CUSTOMERS'REVIEWS THROUGH QUALITY OF REVIEW (QoR). | |
| CN108595498B (en) | Question feedback method and device | |
| CN114780830B (en) | Content recommendation method, device, electronic device and storage medium | |
| US12106264B2 (en) | Crowdsourced insights about merchant shipping methods | |
| CN110334177B (en) | Semantic similarity model training and semantic similarity recognition methods and devices and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180918 |