CN111813292A - Application interaction method, device, system, equipment and storage medium based on group chat - Google Patents

Application interaction method, device, system, equipment and storage medium based on group chat Download PDF

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Publication number
CN111813292A
CN111813292A CN202010457976.7A CN202010457976A CN111813292A CN 111813292 A CN111813292 A CN 111813292A CN 202010457976 A CN202010457976 A CN 202010457976A CN 111813292 A CN111813292 A CN 111813292A
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China
Prior art keywords
application
interaction
group chat
user
list
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CN202010457976.7A
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Chinese (zh)
Inventor
郭劭泽
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Beijing Dajia Internet Information Technology Co Ltd
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Beijing Dajia Internet Information Technology Co Ltd
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Priority to CN202010457976.7A priority Critical patent/CN111813292A/en
Publication of CN111813292A publication Critical patent/CN111813292A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482Interaction with lists of selectable items, e.g. menus
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/85Providing additional services to players
    • A63F13/87Communicating with other players during game play, e.g. by e-mail or chat
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/30Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by output arrangements for receiving control signals generated by the game device
    • A63F2300/308Details of the user interface
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/57Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers details of game services offered to the player
    • A63F2300/572Communication between players during game play of non game information, e.g. e-mail, chat, file transfer, streaming of audio and streaming of video

Abstract

The disclosure relates to an application interaction method, device, system, equipment and storage medium based on group chat, wherein the method comprises the following steps: displaying selectable application lists on a group chat page in response to the viewing operation of the current user account on the application lists; responding to the selected operation of the current user account on the target application in the application list, and generating corresponding application interaction information according to the target application; and displaying the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information. The embodiment of the disclosure realizes the application interaction function in the group chat page, improves the purpose and effectiveness of the application interaction in the group chat page, improves the activeness of the group chat, and enriches the application scene of the group chat.

Description

Application interaction method, device, system, equipment and storage medium based on group chat
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a system, a device, and a storage medium for application interaction based on group chat.
Background
In the field of internet social communication, group chat (called group chat for short) can bring great fun to the communication of users, and the group chat is also a common way for team cooperative communication.
In the related art, a user can only perform simple communication in a group chat or provide some additional functions by using the group chat, multi-person interaction based on an application cannot be performed in the group chat, the liveness of the group chat is low, and the application scene is limited.
Disclosure of Invention
The disclosure provides an application interaction method, device, system, equipment and storage medium based on group chat, and aims to at least solve the problems that the liveness of the group chat is low and the application scene is limited due to the fact that multi-person interaction cannot be performed based on the same application in the group chat in the related technology. The technical scheme of the disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a group chat-based application interaction method, the method including: displaying selectable application lists on a group chat page in response to the viewing operation of the current user account on the application lists; responding to the selected operation of the current user account on the target application in the application list, and generating corresponding application interaction information according to the target application; and displaying the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
Optionally, the presenting, in response to the viewing operation of the current user account on the application list, an optional application list on a group chat page, includes: in response to the viewing operation of the current user account on the application list, sequencing all applications in the application list to obtain an application sequencing result; and displaying an optional application list on the group chat page according to the application sequencing result.
Optionally, the sorting the applications in the application list to obtain an application sorting result includes: acquiring interactive behavior data, wherein the interactive behavior data comprises user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data at least comprises user related information of an application which initiates interaction and/or receives interaction in a preset first time period of the current user account, and the user interaction data at least comprises application related information of each application which is initiated and/or received to interact in a preset second time period of the application list; and sequencing the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
Optionally, the sorting the applications in the application list according to the interactive behavior data to obtain an application sorting result includes: generating an application recommendation index of each application in the application list according to the interactive behavior data; and sequencing the applications in the application list in a descending order according to the application recommendation indexes of the applications to obtain application sequencing results.
Optionally, the generating an application recommendation index of each application in the application list according to the interactive behavior data includes: and when the interactive behavior data comprises the user behavior data, generating an application recommendation index of each application in the application list according to the weight factor, the interaction times and the average interaction duration of the application initiating the interaction and/or the weight factor, the interaction times and the average interaction duration of the application receiving the interaction.
Optionally, the generating an application recommendation index of each application in the application list according to the interactive behavior data includes: and when the interactive behavior data comprises the user interactive data, generating an application heat index of each application in the application list according to the weight factor, the interactive frequency and the average interactive duration of each initiated interactive application in the application list and/or the weight factor, the interactive frequency, the average interactive duration and the normalization factor of each received interactive application.
Optionally, the generating, in response to the operation of the current user account on selecting the target application in the application list, corresponding application interaction information according to the target application includes: and responding to the selection operation of the current user account on the target application in the application list, and generating corresponding application interaction information according to one or more of the identification information of the target application, the identification information of the current user account, the number of application interaction people and the application interaction state.
Optionally, the presenting the application interaction information in the group chat page includes: acquiring user historical behavior data of each user in a user list, wherein the user historical behavior data comprises times and duration of initiating interaction and/or receiving interaction aiming at the target application; generating a user recommendation index of each user according to the user historical behavior data; sorting the users in the user list in a descending order according to the user recommendation indexes of the users; selecting candidate users from the users sorted in the descending order; and displaying the application interaction information on a group chat page corresponding to the candidate user.
Optionally, the generating a user recommendation index of each user according to the user historical behavior data includes: and generating a user recommendation index of each user according to the weight factor of the initiating interaction and the times and duration of the initiating interaction, and/or the weight factor of the receiving interaction and the times and duration of the receiving interaction of each user aiming at the target application, wherein the time of initiating interaction comprises the average interaction time duration of initiating interaction, and the time of receiving interaction comprises the average interaction time duration of receiving interaction.
Optionally, the triggering other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information includes: and under the condition that the other user accounts view the application interaction information in the corresponding group chat page, adding the other user accounts and the current user account into the application account of the target application, and establishing the application relationship between the other user accounts and the current user account in the target application.
Optionally, the displaying an optional application list in the group chat page includes: sending application sequencing request information to a server, wherein the application sequencing request information comprises identification information of the current user account and/or identification information of each application in the application list; receiving an application sorting result returned by the server according to the application sorting request information; and displaying an optional application list on the group chat page according to the application sequencing result.
Optionally, the presenting the application interaction information in the group chat page includes: sending user recommendation request information to a server, wherein the user recommendation request information comprises identification information of each user in the user list; receiving a user recommendation result returned by the server according to the user recommendation request information; and displaying the application interaction information on a corresponding group chat page according to the user recommendation result.
According to a second aspect of the embodiments of the present disclosure, there is provided a group chat-based application interaction method, the method including: acquiring application list display request information, wherein the application list display request information comprises identification information of a current user account; displaying an optional application list on a group chat page according to the application list display request information; acquiring interactive request information, wherein the interactive request information comprises identification information of a target application in the application list; generating application interaction information of the target application according to the interaction request information; and displaying the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
Optionally, the displaying an optional application list on a group chat page according to the application list display request information includes: sequencing all applications in the application list according to the application list display request information to obtain an application sequencing result; and displaying an optional application list on the group chat page according to the application sequencing result.
Optionally, the sorting the applications in the application list according to the application list display request information to obtain an application sorting result includes: acquiring interactive behavior data, wherein the interactive behavior data comprises user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data at least comprises user related information of an application which initiates interaction and/or receives interaction in a preset first time period of the current user account, and the user interaction data at least comprises application related information of each application which is initiated and/or received to interact in a preset second time period of the application list; and sequencing the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
Optionally, the sorting the applications in the application list according to the interactive behavior data to obtain an application sorting result includes: generating an application recommendation index of each application in the application list according to the interactive behavior data; and sequencing the applications in the application list in a descending order according to the application recommendation indexes of the applications to obtain application sequencing results.
Optionally, the generating an application recommendation index of each application in the application list according to the interactive behavior data includes: and when the interactive behavior data comprises the user behavior data, generating an application recommendation index of each application in the application list according to the weight factor, the interaction times and the average interaction duration of the application initiating the interaction and/or the weight factor, the interaction times and the average interaction duration of the application receiving the interaction.
Optionally, the generating an application recommendation index of each application in the application list according to the interactive behavior data includes: and when the interactive behavior data comprises the user interactive data, generating an application heat index of each application in the application list according to the weight factor, the interactive frequency and the average interactive duration of each initiated interactive application in the application list and/or the weight factor, the interactive frequency, the average interactive duration and the normalization factor of each received interactive application.
Optionally, the generating application interaction information of the target application according to the interaction request information includes: and generating corresponding application interaction information according to one or more of the identification information of the target application, the identification information of the current user account, the number of application interaction persons and the application interaction state.
Optionally, the presenting the application interaction information in the group chat page includes: acquiring user historical behavior data of each user in a user list, wherein the user historical behavior data comprises times and duration of initiating interaction and/or receiving interaction aiming at the target application; generating a user recommendation index of each user according to the user historical behavior data; sorting the users in the user list in a descending order according to the user recommendation indexes of the users; selecting candidate users from the users sorted in the descending order; and displaying the application interaction information on a group chat page corresponding to the candidate user.
Optionally, the generating a user recommendation index of each user according to the user historical behavior data includes: and generating a user recommendation index of each user according to the weight factor of the initiating interaction and the times and duration of the initiating interaction, and/or the weight factor of the receiving interaction and the times and duration of the receiving interaction of each user aiming at the target application, wherein the time of initiating interaction comprises the average interaction time duration of initiating interaction, and the time of receiving interaction comprises the average interaction time duration of receiving interaction.
Optionally, the triggering other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information includes: and under the condition that the other user accounts view the application interaction information in the corresponding group chat page, adding the other user accounts and the current user account into the application account of the target application, and establishing the application relationship between the other user accounts and the current user account in the target application.
According to a third aspect of the embodiments of the present disclosure, there is provided an application interaction apparatus based on group chat, the apparatus including: the first presentation module is configured to present selectable application lists on a group chat page in response to the viewing operation of the current user account on the application lists; the first generation module is configured to respond to the selection operation of the current user account on the target application in the application list, and generate corresponding application interaction information according to the target application; the first presentation module is further configured to present the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
Optionally, the first display module includes: the application sequencing module is configured to respond to the viewing operation of the current user account on an application list, and sequence each application in the application list to obtain an application sequencing result; and the list display module is configured to display selectable application lists on the group chat page according to the application sorting result.
Optionally, the application sorting module includes: a data obtaining module, configured to obtain interaction behavior data, where the interaction behavior data includes user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data includes at least user-related information of an application for which the current user account initiates interaction and/or receives interaction within a preset first time period, and the user interaction data includes at least application-related information for which each application in the application list has initiated interaction and/or received interaction within a preset second time period; and the sequencing result determining module is configured to sequence the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
Optionally, the ranking result determining module is configured to generate an application recommendation index of each application in the application list according to the interaction behavior data; and sequencing the applications in the application list in a descending order according to the application recommendation indexes of the applications to obtain application sequencing results.
Optionally, the ranking result determining module is configured to, when the interaction behavior data includes the user behavior data, generate an application recommendation index of each application in the application list according to the weight factor, the number of interactions, and the average interaction duration of the application initiating the interaction, and/or the weight factor, the number of interactions, and the average interaction duration of the application receiving the interaction.
Optionally, the ranking result determining module is configured to, when the interaction behavior data includes the user interaction data, generate an application heat index of each application in the application list according to a weight factor, an interaction number, and an average interaction duration of each application in the application list, which is initiated to interact with, and/or a weight factor, an interaction number, an average interaction duration, and a normalization factor of each application in the application list, which is accepted to interact with.
Optionally, the first generating module is configured to, in response to a selection operation of the current user account on a target application in an application list, generate corresponding application interaction information according to one or more of identification information of the target application, identification information of the current user account, the number of application interactions, and an application interaction state.
Optionally, the first display module includes: a historical data acquisition module configured to acquire user historical behavior data of each user in a user list, the user historical behavior data including times and durations of initiating and/or accepting interactions for the target application; the user recommendation index generation module is configured to generate a user recommendation index of each user according to the user historical behavior data; the user sorting module is configured to sort the users in the user list in a descending order according to the user recommendation indexes of the users; the user recommendation result determining module is configured to select candidate users from the users sorted in the descending order; and the interaction information display module is configured to display the application interaction information on the group chat page corresponding to the candidate user.
Optionally, the user recommendation index generating module is configured to generate the user recommendation index of each user according to a weight factor of each user for initiating interaction and the number and duration of times and durations of time and durations of.
Optionally, the first presentation module is configured to, when the other user account views the application interaction information in the corresponding group chat page, add the other user account and the current user account to an application account of the target application, and establish an application relationship between the other user account and the current user account in the target application.
Optionally, the first presentation module is further configured to send application sequencing request information to a server, where the application sequencing request information includes identification information of the current user account and/or identification information of each application in the application list; receiving an application sorting result returned by the server according to the application sorting request information; and displaying an optional application list on the group chat page according to the application sequencing result.
Optionally, the first presentation module is further configured to send user recommendation request information to a server, where the user recommendation request information includes identification information of each user in the user list; receiving a user recommendation result returned by the server according to the user recommendation request information; and displaying the application interaction information on a corresponding group chat page according to the user recommendation result.
According to a fourth aspect of the embodiments of the present disclosure, there is provided an application interaction apparatus based on group chat, the apparatus including: the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is configured to acquire application list display request information, and the application list display request information contains identification information of a current user account; the second display module is configured to display the selectable application lists on the group chat page according to the application list display request information; the obtaining module is further configured to obtain interactive request information, where the interactive request information includes identification information of a target application in the application list; the second generation module is configured to generate application interaction information of the target application according to the interaction request information; the second presentation module is further configured to present the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
Optionally, the second display module includes: the application sequencing module is configured to sequence the applications in the application list according to the application list display request information to obtain an application sequencing result; and the list display module is configured to display selectable application lists on the group chat page according to the application sorting result.
Optionally, the application sorting module includes: an interactive behavior data obtaining module, configured to obtain interactive behavior data, where the interactive behavior data includes user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data includes at least user-related information of an application that the current user account initiates interaction and/or accepts interaction within a preset first time period, and the user interaction data includes at least application-related information that each application in the application list initiates interaction and/or accepts interaction within a preset second time period; and the sequencing result determining module is configured to sequence the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
Optionally, the ranking result determining module is configured to generate an application recommendation index of each application in the application list according to the interaction behavior data; and sequencing the applications in the application list in a descending order according to the application recommendation indexes of the applications to obtain application sequencing results.
Optionally, the ranking result determining module is configured to, when the interaction behavior data includes the user behavior data, generate an application recommendation index of each application in the application list according to the weight factor, the number of interactions, and the average interaction duration of the application initiating the interaction, and/or the weight factor, the number of interactions, and the average interaction duration of the application receiving the interaction.
Optionally, the ranking result determining module is configured to, when the interaction behavior data includes the user interaction data, generate an application heat index of each application in the application list according to a weight factor, an interaction number, and an average interaction duration of each application in the application list, which is initiated to interact with, and/or a weight factor, an interaction number, an average interaction duration, and a normalization factor of each application in the application list, which is accepted to interact with.
Optionally, the second generating module is configured to generate corresponding application interaction information according to one or more of the identification information of the target application, the identification information of the current user account, the number of application interactions, and an application interaction state.
Optionally, the second display module includes: a historical data acquisition module configured to acquire user historical behavior data of each user in a user list, the user historical behavior data including times and durations of initiating and/or accepting interactions for the target application; the user recommendation index generation module is configured to generate a user recommendation index of each user according to the user historical behavior data; the user sorting module is configured to sort the users in the user list in a descending order according to the user recommendation indexes of the users; the user recommendation result determining module is configured to select candidate users from the users sorted in the descending order; and the interaction information display module is configured to display the application interaction information on the group chat page corresponding to the candidate user.
Optionally, the user recommendation index generating module is configured to generate the user recommendation index of each user according to a weight factor of each user for initiating interaction and the number and duration of times and durations of time and durations of.
Optionally, the second presentation module is configured to, when the other user account views the application interaction information in the corresponding group chat page, add the other user account and the current user account to an application account of the target application, and establish an application relationship between the other user account and the current user account in the target application.
According to a fifth aspect of embodiments of the present disclosure, there is provided a client, comprising a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of the first aspect.
According to a sixth aspect of embodiments of the present disclosure, there is provided a server comprising a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of the second aspect.
According to a seventh aspect of the embodiments of the present disclosure, there is provided a group chat-based application interaction system, which includes the client according to the fifth aspect and the server according to the sixth aspect.
According to an eighth aspect of embodiments of the present disclosure, there is provided a storage medium, wherein instructions, when executed by a processor of an electronic device, enable the electronic device to perform the method according to the first aspect and/or the second aspect.
According to a ninth aspect of embodiments of the present disclosure, there is provided a computer program product comprising readable program code executable by a processor of an electronic device to perform the method of the first and/or second aspect.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
according to the application interaction scheme based on the group chat, when a current user account conducts viewing operation on an application list, the selectable application list can be displayed on a group chat page in response to the viewing operation, so that the current user account can select a target application from the application list, and application interaction information of the target application is generated in response to the selecting operation. And displaying the application interaction information in the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information. The embodiment of the disclosure realizes the application interaction function in the group chat page, improves the purpose and effectiveness of the application interaction in the group chat page, improves the activeness of the group chat, and enriches the application scene of the group chat.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
Fig. 1 is a flowchart illustrating a group chat-based application interaction method according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating another group chat-based application interaction method according to an example embodiment.
Fig. 3a is a flowchart illustrating an interaction between a client and a server in a group chat-based game interaction method according to an exemplary embodiment.
Fig. 3b is a schematic diagram illustrating a change of a game state of a target game room in a group chat based game interaction method according to an exemplary embodiment.
Fig. 4 is a block diagram illustrating a group chat-based application interaction apparatus according to an example embodiment.
Fig. 5 is a block diagram illustrating another group chat-based application interaction apparatus according to an example embodiment.
FIG. 6 is a block diagram illustrating a group chat-based application interaction electronic device, according to an example embodiment.
FIG. 7 is a block diagram illustrating another group chat-based application interaction electronic device, according to an example embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Fig. 1 is a flowchart illustrating a group chat-based application interaction method according to an exemplary embodiment, where as shown in fig. 1, the group chat-based application interaction method may be applied to an application program in a client, the application program may provide a group chat operation between multiple user accounts, and the method may specifically include the following steps.
In step S11, in response to the viewing operation of the current user account on the application list, the selectable application list is presented on the group chat page.
In an embodiment of the disclosure, the group chat page provides an application list including a plurality of applications, and each application in the application list may provide an interactive function for a plurality of user accounts in the group chat page. When the current user account performs a viewing operation on the application list, the selectable application list can be displayed on the group chat page in response to the viewing operation. In practical applications, the application list may belong to a one-level list or a multi-level list of the group chat page. The first-level list shows that the current user account can be displayed by one-step viewing operation, and the multi-level list shows that the current user account can be displayed by multi-step viewing operation.
In step S12, in response to the operation of selecting the target application in the application list by the current user account, corresponding application interaction information is generated according to the target application.
In the embodiment of the disclosure, the current user account may select a target application from the application list, and then, in response to the selection operation, generate corresponding application interaction information according to the target application. The application interaction information may include one or more of identification information of the target application, a number of people, a status, and identification information of a current user account.
In step S13, the application interaction information is presented on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
In the embodiment of the disclosure, the application interaction information is displayed in the group chat page, so that the application interaction information can be displayed by the application on the client where the other user account in the group chat is located, and the other user account can interact with the target-based application of the current user account through the application interaction information.
The embodiment of the disclosure realizes the application interaction function in the group chat page, improves the purpose and effectiveness of the application interaction in the group chat page, improves the activeness of the group chat, and enriches the application scene of the group chat.
In an exemplary embodiment of the present disclosure, in the process of executing step S11, in response to a viewing operation of the current user account on the application list, each application in the application list may be sorted to obtain an application sorting result; and displaying an optional application list on the group chat page according to the application sorting result. In practical application, when the applications in the application list are sorted to obtain the application sorting result, the interactive behavior data may be obtained first, and then the applications in the application list are sorted according to the interactive behavior data to obtain the application sorting result. The interactive behavior data may include user behavior data of a current user account or user interaction data of each application in the application list. The user behavior data at least comprises user related information of an application which initiates and/or receives interaction in a preset first time period by a current user account. The user interaction data at least comprises application related information of each application in the application list, wherein the application is initiated to interact and/or is accepted to interact within a preset second time period. When the applications in the application list are sorted, the sorting result of the applications in the application list can be determined from both the user behavior data and the user interaction data. When the user behavior data is selected to be sorted, the applications are sorted from the perspective of the user account; when sorting through user interaction data is selected, it means that applications are sorted from the application's perspective. The application sorting method provides sorting modes of different angles for application sorting, can adapt to different application interaction requirements of users in group chat to sort the applications, and accurately recommend the applications meeting the interaction requirements to the users.
On one hand, the application recommendation index of each application in the application list may be generated according to the interactive behavior data, that is, when the interactive behavior data includes user behavior data, the application recommendation index of each application in the application list may be generated according to the weight factor, the number of times of interaction, and the average interaction duration of the application initiating the interaction, and/or the weight factor, the number of times of interaction, and the average interaction duration of the application receiving the interaction. And then, according to the application recommendation indexes of the applications, performing descending order on the applications in the application list to obtain application ordering results.
The average interaction duration of the applications initiating the interaction may be obtained by dividing the total interaction duration of the applications initiating the interaction by the number of interactions of the applications initiating the interaction. The average interaction duration of the applications accepting the interaction may be obtained by dividing the total interaction duration of the applications accepting the interaction by the number of interactions of the applications accepting the interaction.
For example, atz ═ afy × afc × afps + ajy × ajc × ajps for certain applications. Wherein atz represents the application recommendation index, afy represents the weight factor for initiating interaction for the application, afc represents the number of interactions to initiate interaction, afps represents the average interaction duration to initiate interaction, ajy represents the weight factor for accepting interaction for the application, ajc represents the number of interactions to accept interaction, and ajps represents the average interaction duration to accept interaction. The specific value of the weight factor initiating the interaction may be greater than the specific value of the weight factor accepting the interaction, so that the application recommendation index may more accurately satisfy the interaction preference of the first user. In addition, the specific value of the weight factor initiating the interaction and the specific value of the weight factor receiving the interaction may be set according to actual conditions, and the embodiment of the present disclosure does not specifically limit the values of the weight factors, and may be set according to a specific implementation scenario or implementation requirements. The higher the application recommendation index of the application is, the more the application conforms to the interaction preference of the user, and by obtaining the application recommendation indexes of different applications and combining with other steps of the embodiment, the applications more conforming to the interaction preference of the user can be recommended to the user more easily by sorting according to the application recommendation indexes, so that the interaction preference of the user is actually met.
On the other hand, the application heat index of each application in the application list may be generated according to the interactive behavior data, that is, when the interactive behavior data includes user interactive data, the application heat index of each application in the application list may be generated according to the weight factor, the number of times of interaction, and the average interaction duration of each application in the application list that is initiated to interact, and/or the weight factor, the number of times of interaction, the average interaction duration, and the normalization factor of the accepted interaction. And then, according to the application heat indexes of the applications, performing descending order on the applications in the application list to obtain application ordering results.
The average interaction duration may be obtained by dividing the total interaction duration (including the initiation interaction duration and the acceptance interaction duration) of the applications by the number of interactions of the application initiating the interaction.
For example, yrz ═ ps ((bfy × bfc + bjy (bjc/bfc)) ×) gy may be used. Wherein yrz represents the application heat index, bfy represents the weight factor of the initiated interaction, bfc represents the number of interactions initiated, bjy represents the weight factor of the accepted interaction, bjc represents the number of interactions accepted, ps represents the average interaction duration, and gy represents the normalization factor. The specific value of the weight factor for the initiated interaction may be greater than the specific value of the weight factor for the accepted interaction, and the normalization factor for each application is the same, so as to normalize the application heat index to a specific range of values. In addition, the specific value of the weight factor for initiating interaction, the specific value of the weight factor for accepting interaction, and the specific value of the normalization factor may be set according to actual conditions. The higher the application popularity index of the application is, the more popular the application is to the user, the more in line with the interaction preference of the user, by obtaining the application popularity index of different applications and combining with other steps of the embodiment, the applications more in line with the interaction preference of the user can be recommended to the user more easily by sorting according to the application popularity index, and the interaction preference of the user is actually met.
In an exemplary embodiment of the present disclosure, in the process of executing step S12, in response to a selection operation of a target application in the application list by a current user account, corresponding application interaction information may be generated according to one or more of identification information of the target application, identification information of the current user account, the number of application interactions, and an application interaction state. When the application interaction information is generated, the identification information of the target application, the identification information of the current user account, the minimum number of application interactions, the maximum number of application interactions, the current number of application interactions, the real-time application interaction state and other contents can be added to the application interaction information, so that rich introduction, condition limitation and the like are provided for the application interaction information.
In an exemplary embodiment of the present disclosure, in the process of executing step S13, user historical behavior data of each user in the user list may be obtained, where the user historical behavior data includes the number and duration of times of initiating and/or accepting interactions for the target application; generating a user recommendation index of each user according to the historical behavior data of the user; sorting the users in the user list in a descending order according to the user recommendation indexes of the users; selecting candidate users from the users sorted in the descending order; and displaying the application interaction information on a group chat page corresponding to the candidate user.
When the user recommendation index of each user is generated according to the user historical behavior data, the user recommendation index of each user can be generated according to the weight factor of the interaction initiation and the times and duration of the interaction initiation of each user aiming at the target application, and/or the weight factor of the interaction acceptance and the times and duration of the interaction acceptance. The time length for initiating the interaction comprises the average interaction time length for initiating the interaction, and the time length for receiving the interaction comprises the average interaction time length for receiving the interaction.
For example, ytz ═ fy × fc × fps + jy × jc × jps of a certain user, where ytz represents the user recommendation index, fy represents the weight factor of the initiating interaction for the target application, fc represents the number of interactions of the initiating interaction for the target application, fps represents the average interaction duration of the initiating interaction for the target application, jy represents the weight factor of the accepting interaction for the target application, jc represents the number of interactions of the accepting interaction for the target application, and jps represents the average interaction duration of the accepting interaction for the target application.
Through the embodiment, the user recommendation index which can reflect the application interaction preference of the user can be obtained according to the historical behavior data of the group chat users, the candidate users can be selected after the users are sorted in the descending order, and the users with the descending order in the preset descending order range, such as the users sorted in the descending order range of 1-10, can be selected as the candidate users.
The embodiment of the present disclosure does not specifically limit the value of the weighting factor, and may be set according to a specific implementation scenario or implementation requirements. The higher the user recommendation index of the user is, the more easily the user participates in the interaction, the more in line with the interaction preference of the current user account, by obtaining the user recommendation indexes of different users and combining with other steps of the embodiment, the users more in line with the interaction preference of the current user account can be more easily recommended to the current user account by sequencing according to the user recommendation indexes, and the interaction preference of the user is actually met.
It should be noted that the object for which the user recommendation index is directed is a user in the user list, and the object for which the recommendation index and the popularity index are applied is an application in the application list.
In an exemplary embodiment of the present disclosure, in the process of executing the step S13, in a case that the other user account views the application interaction information in the corresponding group chat page, the other user account and the current user account may be added to the application account of the target application, and an application relationship between the other user account and the current user account in the target application may be established. When the other user accounts interact with the current user account, the other user accounts and the current user account can be jointly used as the application account of the target application. And meanwhile, the application account is the target application, an application relation in the target application needs to be established between the other user accounts and the current user account, and the other user accounts can interact with the current user account in the target application based on the established application relation.
The above embodiment may be understood as that the group chat based application interaction method is implemented in the application program of the client, and in addition, the group chat based application interaction method may also be implemented through the interaction between the application program of the client and the server.
When the selectable application list is displayed on the group chat page, application sequencing request information can be sent to the server side, and the application sequencing request information contains identification information of a current user account and/or identification information of each application in the application list. After receiving the application sorting request information, the server may generate an application sorting result according to the identification information of the current user account and/or the identification information of each application in the application list, and return the application sorting result to the client. And after receiving an application sorting result returned by the server according to the application sorting request information, displaying an optional application list on the group chat page according to the application sorting result. When the selectable application list is displayed on the group chat page, the plurality of applications in the application list can be sequenced, and the applications which are worthy of recommendation or high in popularity are arranged at the front position, so that the target application can be selected conveniently, and the interaction success rate of other user accounts and the current user account can be improved. Moreover, when the applications in the application list are sorted, the sorting result of the applications in the application list can be determined from both the user behavior data and the user interaction data. When the user behavior data is selected to be sorted, the applications are sorted from the perspective of the user account; when sorting through user interaction data is selected, it means that applications are sorted from the application's perspective. The application sorting method provides sorting modes of different angles for application sorting, can adapt to different application interaction requirements of users in group chat to sort the applications, and accurately recommend the applications meeting the interaction requirements to the users.
When the application interaction information is displayed on the group chat page, user recommendation request information can be sent to the server side, and the user recommendation request information contains identification information of each user in the user list. The server side can generate a user recommendation result according to the user recommendation request information and return the user recommendation result to the client side. And after receiving a user recommendation result returned by the server, displaying the application interaction information on the corresponding group chat page according to the user recommendation result. When the application interaction information is displayed on the group chat page, the application interaction information can be displayed in the group chat page corresponding to part of the user accounts in a targeted manner, so that part of the user accounts can be recommended, and the application interaction information is displayed on the group chat page of the recommended user account, so that the success rate of application interaction with the current user account is improved.
Fig. 2 is a flowchart illustrating another group chat-based application interaction method according to an exemplary embodiment, where as shown in fig. 2, the group chat-based application interaction method may be applied to a server side, and the method may specifically include the following steps.
In step S21, the application list display request information is acquired, and the application lists that can be selected are displayed on the group chat page according to the application list display request information.
In the embodiment of the disclosure, the server may receive application list display request information from an application program of the client, where the application list display request information is used to display each application in an application list in a group chat page of the application program. In practical applications, the application list presentation request information may include identification information of a current user account and/or identification information of each application in the application list. The current user account may be understood as a user account of the application program of the client, that is, a user account for viewing the application list. For the description of the presentation application list, reference may be made to the above description of step S11, and details are not repeated here.
In step S22, the interactive request information is acquired, and the application interactive information of the target application is generated according to the interactive request information.
In an embodiment of the present disclosure, the interaction request information may include identification information of a target application in the application list, and the target application may be understood as an application selected in the application list by the current user account. For the introduction of generating the application interaction information, reference may be made to the above description of step S12, and details are not repeated here.
In step S23, the application interaction information is presented on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
In the embodiment of the present disclosure, regarding the presentation of the application interaction information and the introduction of triggering the interaction between the other user account and the current user account, reference may be made to the related description of step S13, which is not described herein again.
Based on the above-mentioned related description about the embodiment of the group chat based application interaction method, a group chat based game interaction method is introduced below. As shown in fig. 3a, fig. 3a is a flowchart illustrating an interaction between a client and a server in a group chat-based game interaction method.
The game initiator (current user account) logs in to the group chat application (group chat) in the client c01, and performs a viewing operation on a game list (application list) in the group chat. In response to the viewing operation, the client c01 sends game ranking request information to the server SD, where the game ranking request information includes identification information of the game initiator and/or identification information of each game in the game list. After sorting the games in the game list according to the received game sorting request information, the server SD returns the game sorting result to the client c 01. The client c01 may present a list of games to choose from in the group chat page according to the game ranking results. The game initiator performs a selection operation on a target game (target application) in the game list. The client c01 responds to the selection operation, generates a corresponding invitation link (application interaction information) according to the target game and establishes a target game room. The client c01 sends user recommendation request information to the server SD, where the user recommendation request information may include identification information of each user in the user list. And the server side SD generates a user recommendation result according to the user recommendation request information and returns the user recommendation result to the client side c 01. The client c01 displays the invitation links on the group chat pages of the candidate users in the user recommendation result according to the user recommendation result.
When the candidate user hu in the user recommendation result clicks the invite link in the group chat page of the client c02, the client c02 sends the interaction request information for joining the target game to the server SD in response to the click operation. The interaction request information may include identification information of the candidate user hu, identification information of the target game, identification information of the invitation link, identification information of the game initiator, and the like. And the server end SD takes the candidate user hu as a game account of the target game according to the interaction request information. If other candidate users and game initiators still exist in the game account of the target game, the candidate user hu and the other candidate users can interact with the game initiators through the target game.
As shown in fig. 3b, fig. 3b is a schematic diagram illustrating a change of a game state of a target game room in a group chat based game interaction method. When the target game room is just established, the game type of the target game room is that a game initiator initiates a game, the number of participants is 0, and the game state is a waiting state. If no game account is entered into the target game room after a certain time has elapsed, or if the target game is not started, the game account in the target game room exits the target game room, and the game state of the target game room can be changed from the waiting state to the disabled state. When the game state of the target game room is in a failure state, the invitation link is correspondingly failed, and the candidate user cannot enter the target game room through the invitation link. In another case, when the game state of one target game room in the group chat page is the game state, the game states of other target game rooms are converted into the failure state.
And the game initiator clicks the invitation link to enter the target game room and waits for the candidate users in the group chat to enter the target game room. The game sponsor may be the homeowner of the target game room if the game sponsor is the first game account to enter the target game room. In the target game room, the first game account entering the target game room is the homeowner.
In the process of waiting for the candidate users in the group chat to enter the target game room, if the number of the game accounts in the target game room does not reach the set number of the game users, when the house owner triggers the start of the game, the candidate users in the same target game room in other group chat can be matched until the number of the game accounts participating in the target game reaches the set number of the game users, and at the moment, the target game starts. Alternatively, the homeowner may directly start the target game when the number of game accounts entering the target game room reaches a set number of game players. After the target game is started, the game state of the target game room is converted from the waiting state to the game state.
When all game accounts in the target game room exit the game, the game state of the target game room is converted from the game state to the end state. At this time, the target game room is deleted.
According to the application interaction scheme based on group chat provided by the embodiment of the disclosure, in response to the viewing operation of the current user account in the group chat page for the application list, the application list can be displayed in the group chat page in the application program of the client, and each application in the application list can be further sequenced. And the current user account selects a target application from the application list, responds to the selection operation of the current user account, generates application interaction information of the target application, and further displays the application interaction information on the group chat page. The application interaction information may be used to trigger interaction between the current user account and other user accounts in the group chat through the target application.
When the current user account performs viewing operation on the application list in the group chat page, sequencing the applications in the application list in response to the viewing operation and displaying the sequenced application list, so that the current user account can select a target application from the sequenced application list and generate application interaction information of the target application. The current user account and other user accounts in the group chat may be triggered by application interaction information to interact through the target application. In one aspect, embodiments of the present disclosure enable application interaction functionality in group chat pages. On the other hand, the embodiments of the present disclosure can rank each application in the application list in the group chat page, so that the current user account can select the target application from the ranked application list, the purpose and effectiveness of application interaction in the group chat page are improved, the liveness of group chat is improved, and the application scenario of group chat is enriched.
Fig. 4 is a block diagram illustrating a group chat-based application interaction apparatus according to an example embodiment. The device can be applied to a client, and particularly comprises the following modules.
A first presentation module 41 configured to present an application list available for selection on the group chat page in response to a viewing operation of the current user account on the application list;
a first generating module 42, configured to generate corresponding application interaction information according to a target application in an application list in response to a selection operation of the current user account on the target application;
the first presentation module 41 is further configured to present the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
In an exemplary embodiment of the present disclosure, the first display module 41 includes:
the application sequencing module is configured to respond to the viewing operation of the current user account on an application list, and sequence each application in the application list to obtain an application sequencing result;
and the list display module is configured to display selectable application lists on the group chat page according to the application sorting result.
In an exemplary embodiment of the disclosure, the application ranking module includes:
a data obtaining module, configured to obtain interaction behavior data, where the interaction behavior data includes user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data includes at least user-related information of an application for which the current user account initiates interaction and/or receives interaction within a preset first time period, and the user interaction data includes at least application-related information for which each application in the application list has initiated interaction and/or received interaction within a preset second time period;
and the sequencing result determining module is configured to sequence the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
In an exemplary embodiment of the disclosure, the ranking result determining module is configured to generate an application recommendation index of each application in the application list according to the interaction behavior data; and sequencing the applications in the application list in a descending order according to the application recommendation indexes of the applications to obtain application sequencing results.
In an exemplary embodiment of the disclosure, the ranking result determining module is configured to, when the interaction behavior data includes the user behavior data, generate an application recommendation index of each application in the application list according to a weight factor, an interaction number and an average interaction duration of an application initiating an interaction, and/or a weight factor, an interaction number and an average interaction duration of an application receiving an interaction.
In an exemplary embodiment of the disclosure, the ranking result determining module is configured to, when the interaction behavior data includes the user interaction data, generate an application heat index of each application in the application list according to a weight factor, an interaction number, and an average interaction duration of each application in the application list that is initiated to interact with, and/or a weight factor, an interaction number, an average interaction duration, and a normalization factor of each application that is accepted to interact with.
In an exemplary embodiment of the disclosure, the first generating module 42 is configured to, in response to a selection operation of the current user account on a target application in an application list, generate corresponding application interaction information according to one or more of identification information of the target application, identification information of the current user account, the number of application interactions, and an application interaction state.
In an exemplary embodiment of the present disclosure, the first display module 41 includes:
a historical data acquisition module configured to acquire user historical behavior data of each user in a user list, the user historical behavior data including times and durations of initiating and/or accepting interactions for the target application;
the user recommendation index generation module is configured to generate a user recommendation index of each user according to the user historical behavior data;
the user sorting module is configured to sort the users in the user list in a descending order according to the user recommendation indexes of the users;
the user recommendation result determining module is configured to select candidate users from the users sorted in the descending order;
and the interaction information display module is configured to display the application interaction information on the group chat page corresponding to the candidate user.
In an exemplary embodiment of the disclosure, the user recommendation index generating module is configured to generate the user recommendation index of each user according to a weight factor of initiating interaction and a number and duration of initiating interaction, and/or a weight factor of accepting interaction and a number and duration of accepting interaction, of each user for the target application, where the duration of initiating interaction includes an average interaction duration of initiating interaction, and the duration of accepting interaction includes an average interaction duration of accepting interaction.
In an exemplary embodiment of the disclosure, the first presentation module 41 is configured to, in a case that the other user account views the application interaction information in a corresponding group chat page, add the other user account and the current user account to an application account of the target application, and establish an application relationship between the other user account and the current user account in the target application.
In an exemplary embodiment of the present disclosure, the first presentation module 41 is further configured to send application sequencing request information to a server, where the application sequencing request information includes identification information of the current user account and/or identification information of each application in the application list; receiving an application sorting result returned by the server according to the application sorting request information; and displaying an optional application list on the group chat page according to the application sequencing result.
In an exemplary embodiment of the present disclosure, the first presentation module 41 is further configured to send user recommendation request information to a server, where the user recommendation request information includes identification information of each user in the user list; receiving a user recommendation result returned by the server according to the user recommendation request information; and displaying the application interaction information on a corresponding group chat page according to the user recommendation result.
Fig. 5 is a block diagram illustrating another group chat-based application interaction apparatus according to an example embodiment. The device can be applied to a server side, and particularly comprises the following modules.
An obtaining module 51 configured to obtain application list display request information, where the application list display request information includes identification information of a current user account;
a second presentation module 52 configured to present an optional application list on the group chat page according to the application list presentation request information;
the obtaining module 51 is further configured to obtain interaction request information, where the interaction request information includes identification information of a target application in the application list;
a second generating module 53 configured to generate application interaction information of the target application according to the interaction request information;
the second presentation module 52 is further configured to present the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
In an exemplary embodiment of the present disclosure, the second display module 52 includes:
the application sequencing module is configured to sequence the applications in the application list according to the application list display request information to obtain an application sequencing result;
and the list display module is configured to display selectable application lists on the group chat page according to the application sorting result.
In an exemplary embodiment of the disclosure, the application ranking module includes:
an interactive behavior data obtaining module, configured to obtain interactive behavior data, where the interactive behavior data includes user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data includes at least user-related information of an application that the current user account initiates interaction and/or accepts interaction within a preset first time period, and the user interaction data includes at least application-related information that each application in the application list initiates interaction and/or accepts interaction within a preset second time period;
and the sequencing result determining module is configured to sequence the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
In an exemplary embodiment of the disclosure, the ranking result determining module is configured to generate an application recommendation index of each application in the application list according to the interaction behavior data; and sequencing the applications in the application list in a descending order according to the application recommendation indexes of the applications to obtain application sequencing results.
In an exemplary embodiment of the disclosure, the ranking result determining module is configured to, when the interaction behavior data includes the user behavior data, generate an application recommendation index of each application in the application list according to a weight factor, an interaction number and an average interaction duration of an application initiating an interaction, and/or a weight factor, an interaction number and an average interaction duration of an application receiving an interaction.
In an exemplary embodiment of the disclosure, the ranking result determining module is configured to, when the interaction behavior data includes the user interaction data, generate an application heat index of each application in the application list according to a weight factor, an interaction number, and an average interaction duration of each application in the application list that is initiated to interact with, and/or a weight factor, an interaction number, an average interaction duration, and a normalization factor of each application that is accepted to interact with.
In an exemplary embodiment of the disclosure, the second generating module 53 is configured to generate corresponding application interaction information according to one or more of the identification information of the target application, the identification information of the current user account, the number of application interactions, and the application interaction state.
In an exemplary embodiment of the present disclosure, the second display module 52 includes:
a historical data acquisition module configured to acquire user historical behavior data of each user in a user list, the user historical behavior data including times and durations of initiating and/or accepting interactions for the target application;
the user recommendation index generation module is configured to generate a user recommendation index of each user according to the user historical behavior data;
the user sorting module is configured to sort the users in the user list in a descending order according to the user recommendation indexes of the users;
the user recommendation result determining module is configured to select candidate users from the users sorted in the descending order;
and the interaction information display module is configured to display the application interaction information on the group chat page corresponding to the candidate user.
In an exemplary embodiment of the disclosure, the user recommendation index generating module is configured to generate the user recommendation index of each user according to a weight factor of initiating interaction and a number and duration of initiating interaction, and/or a weight factor of accepting interaction and a number and duration of accepting interaction, of each user for the target application, where the duration of initiating interaction includes an average interaction duration of initiating interaction, and the duration of accepting interaction includes an average interaction duration of accepting interaction.
In an exemplary embodiment of the disclosure, the second presentation module 52 is configured to, in a case that the other user account views the application interaction information in the corresponding group chat page, add the other user account and the current user account to the application account of the target application, and establish an application relationship between the other user account and the current user account in the target application.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Embodiments of the present disclosure also provide a group chat-based application interaction system, which may include a client and a server, wherein the client may include a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of fig. 1, the server may comprise a processor; a memory for storing the processor-executable instructions; wherein the processor is configured to execute the instructions to implement the method of FIG. 2.
FIG. 6 is a block diagram illustrating a group chat-based application interaction electronic device 600, according to an example embodiment. For example, the electronic device 600 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 6, electronic device 600 may include one or more of the following components: a processing component 602, a memory 604, a power component 606, a multimedia component 608, an audio component 610, an interface to input/output (I/O) 612, a sensor component 614, and a communication component 616.
The processing component 602 generally controls overall operation of the electronic device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 can include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support operations at the electronic device 600. Examples of such data include instructions for any application or method operating on the electronic device 600, contact data, phonebook data, messages, images, videos, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
Power supply component 606 provides power to the various components of electronic device 600. The power components 606 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 600.
The multimedia component 608 includes a screen that provides an output interface between the electronic device 600 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 600 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, the audio component 610 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The I/O interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 614 includes one or more sensors for providing status assessment of various aspects of the electronic device 600. For example, the sensor component 614 may detect an open/closed state of the electronic device 600, the relative positioning of components, such as a display and keypad of the electronic device 600, the sensor component 614 may also detect a change in the position of the electronic device 600 or a component of the electronic device 600, the presence or absence of user contact with the electronic device 600, orientation or acceleration/deceleration of the electronic device 600, and a change in the temperature of the electronic device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 616 is configured to facilitate communications between the electronic device 600 and other devices in a wired or wireless manner. The electronic device 600 may access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a storage medium comprising instructions, such as the memory 604 comprising instructions, executable by the processor 620 of the electronic device 600 to perform the above-described method is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, a computer program product is also provided, which comprises readable program code executable by the processor 620 of the electronic device 600 to perform the above-described method. Alternatively, the program code may be stored in a storage medium of the electronic device 600, which may be a non-transitory computer-readable storage medium, such as a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
FIG. 7 is a block diagram illustrating another group chat-based application interaction electronic device 700, according to an example embodiment. For example, the electronic device 700 may be provided as a server. Referring to fig. 7, electronic device 700 includes a processing component 722 that further includes one or more processors, and memory resources, represented by memory 732, for storing instructions, such as applications, that are executable by processing component 722. The application programs stored in memory 732 may include one or more modules that each correspond to a set of instructions. Further, processing component 722 is configured to execute instructions to perform the group chat based application interaction methods described above.
The electronic device 700 may also include a power component 726 that is configured to perform power management of the electronic device 700, a wired or wireless network interface 750 that is configured to connect the electronic device 700 to a network, and an input output (I/O) interface 758. The electronic device 700 may operate based on an operating system, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like, stored in memory 732.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. An application interaction method based on group chat, characterized in that the method comprises the following steps:
displaying selectable application lists on a group chat page in response to the viewing operation of the current user account on the application lists;
responding to the selected operation of the current user account on the target application in the application list, and generating corresponding application interaction information according to the target application;
and displaying the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
2. The method of claim 1, wherein the presenting a list of applications available for selection in a group chat page in response to a view operation of the current user account on the list of applications comprises:
in response to the viewing operation of the current user account on the application list, sequencing all applications in the application list to obtain an application sequencing result;
and displaying an optional application list on the group chat page according to the application sequencing result.
3. The method of claim 2, wherein the sorting the applications in the application list to obtain an application sorting result comprises:
acquiring interactive behavior data, wherein the interactive behavior data comprises user behavior data of the current user account or user interaction data of each application in the application list, the user behavior data at least comprises user related information of an application which initiates interaction and/or receives interaction in a preset first time period of the current user account, and the user interaction data at least comprises application related information of each application which is initiated and/or received to interact in a preset second time period of the application list;
and sequencing the applications in the application list according to the interactive behavior data to obtain an application sequencing result.
4. An application interaction method based on group chat, characterized in that the method comprises the following steps:
acquiring application list display request information, wherein the application list display request information comprises identification information of a current user account;
displaying an optional application list on a group chat page according to the application list display request information;
acquiring interactive request information, wherein the interactive request information comprises identification information of a target application in the application list;
generating application interaction information of the target application according to the interaction request information;
and displaying the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
5. An apparatus for application interaction based on group chat, the apparatus comprising:
the first presentation module is configured to present selectable application lists on a group chat page in response to the viewing operation of the current user account on the application lists;
the first generation module is configured to respond to the selection operation of the current user account on the target application in the application list, and generate corresponding application interaction information according to the target application;
the first presentation module is further configured to present the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
6. An apparatus for application interaction based on group chat, the apparatus comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is configured to acquire application list display request information, and the application list display request information contains identification information of a current user account;
the second display module is configured to display the selectable application lists on the group chat page according to the application list display request information;
the obtaining module is further configured to obtain interactive request information, where the interactive request information includes identification information of a target application in the application list;
the second generation module is configured to generate application interaction information of the target application according to the interaction request information;
the second presentation module is further configured to present the application interaction information on the group chat page to trigger other user accounts in the group chat to interact with the current user account through the target application based on the application interaction information.
7. A client, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 3.
8. A server, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of claim 4.
9. A group chat based application interaction system, comprising a client as claimed in claim 7 and a server as claimed in claim 8.
10. A storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of any of claims 1-4.
CN202010457976.7A 2020-05-26 2020-05-26 Application interaction method, device, system, equipment and storage medium based on group chat Pending CN111813292A (en)

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Application publication date: 20201023