CN110727877B - Group operation method and system suitable for social software - Google Patents
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Abstract
The invention provides a group operation method and a system suitable for social software, comprising the following steps: a user type judging step: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information; a user classification step: acquiring formal group member tag information according to the confirmed group entering result information; acquiring temporary group member tag information according to the unconfirmed group entering result information; and a user screening step: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information; group management: and managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the group member behavior state and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group. The invention realizes the group associated variety quotation, automatic grouping system and group offer recommendation mechanism.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a group operation method and system suitable for social software, and particularly relates to a novel group system and operation method existing in APP.
Background
When social networks develop well, from the earliest QQ and MSN to the current WeChat, strange and tremble, the social networks are certainly the 'necessary place' developed by Internet daos, although the social software is continuously updated and iterated, many functions are very short from appearance to consumption, the group functions are always valued and kept until now as the basic functions of the social software, the group functions are always deeply favored by users of all ages, such as working groups meeting the working needs, discussion is conducted on a problem, related personnel are required to be pulled into a group to be discussed, and family member groups, colleagues exchange groups and the like, and the occurrence of the groups can meet various requirements of vast users. A group can be established on WeChat by only selecting 2 friends, words, pictures, voice messages, red packets, voice video conferences and the like can be sent in the group, other group members can be seen, if the group members are illegal, a group owner can reject the group members, the WeChat group is a privacy group, the group can not be added through other channels only by sharing two-dimensional codes or inviting the group members, in addition, the WeChat group is only used as a basic tool for communication at home, and a use scene combined with specific application is not needed, so that the group system and the recommendation method are needed in order to better meet the demands of various users on the group.
Patent document CN105163288B discloses a group communication method and a group communication system, comprising: establishing a communication group, wherein the communication group comprises at least two contact numbers; sending a call request to the communication group; recording communication states corresponding to all contact numbers in the communication group, wherein the communication states comprise: responded, non-responded, or unconnected; after all contact numbers in the communication group are called, judging whether no response or no contact exists in the current communication state; if there is no response or no contact, a call reminder is sent after a preset time interval. The patent has room for improvement in meeting the demands of various users for groups.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a group operation method and system suitable for social software.
The group operation method suitable for social software provided by the invention comprises the following steps: a user type judging step: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information; a user classification step: acquiring formal group member tag information according to the confirmed group entering result information; acquiring temporary group member tag information according to the unconfirmed group entering result information; and a user screening step: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information; group management: managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the behavior states of the group members and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group; the culling user control information indicates culling user behavior.
Preferably, the group management step further includes: grouping judgment: acquiring automatic allocation instruction information when the number of the group members newly entering the set group reaches a preset threshold according to the group member number information of the set group; a sub-group judging step: judging whether a subgroup outside the set group exists or not, and acquiring subgroup existence information or subgroup nonexistence information; automatic grouping: and automatically distributing the newly added group members to other groups according to the automatic distribution instruction information and the subgroup existence information.
Preferably, the group running method applicable to the social software further comprises: and (3) associated variety quotation step: and according to the theme information parameters, the group is associated with the theme information parameters to obtain the theme information display control information.
Preferably, the group running method applicable to the social software further comprises: group quotation classification: configuring a transaction portal in a group to acquire group quotation type information; according to the group quotation type information, quotation link information and transaction link information are obtained, for example, after being correlated, corresponding market trend changes are displayed on a list, the group chat is entered, corresponding market trend is also displayed on the top of the group, thus people concerned about the market trend can check the market change condition without exiting the group chat, meanwhile, a transaction portal is arranged in the group, and the transaction can be completed in the group directly
Preferably, the group management step further includes: judging the activity degree of group member behaviors: acquiring active state information and inactive state information of the group members according to the behavior state information of the group members; the automatic grouping step further comprises: an inactive member substitution step: and removing the inactive members in the group according to the inactive state information of the group members, adding new members into the set group, and updating the number information of the group members of the set group.
Preferably, the group running method applicable to the social software further comprises: matching user behavior state: acquiring user attribute tag information according to the user attribute parameters; group offer recommendation step: according to any one or more of the following: -group offer recommendation instruction information; -group attribute information; -user attribute tag information; and recommending the set group to the user with the user attribute corresponding to the group attribute, and acquiring group offer recommendation control information.
The invention provides a group running system suitable for social software, which comprises: and a user type judging module: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information; and a user classification module: acquiring formal group member tag information according to the confirmed group entering result information; acquiring temporary group member tag information according to the unconfirmed group entering result information; and a user screening module: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information; group management module: and managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the group member behavior state and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group.
Preferably, the group management module further comprises: grouping judgment module: acquiring automatic allocation instruction information when the number of the group members newly entering the set group reaches a preset threshold according to the group member number information of the set group; a subgroup judging module: judging whether a subgroup outside the set group exists or not, and acquiring subgroup existence information or subgroup nonexistence information; automatic grouping module: and automatically distributing the newly added group members to other groups according to the automatic distribution instruction information and the subgroup existence information.
Preferably, the group running system applicable to the social software further comprises: and the associated variety quotation module: and according to the theme information parameters, the group is associated with the theme information parameters to obtain the theme information display control information.
Group quotation classification module: configuring a transaction portal in a group to acquire group quotation type information; acquiring quotation link information and transaction link information according to the group quotation type information; for example, after association, corresponding market trend changes are displayed on the list, the group chat is entered, the corresponding market trend is also displayed on the top of the group, so that people concerned about the market trend can check the market change without exiting the group chat, meanwhile, a transaction portal is arranged in the group, and the transaction can be completed directly in the group. Matching user behavior state module: acquiring user attribute tag information according to the user attribute parameters; group offer recommendation module: according to any one or more of the following: -group offer recommendation instruction information; -group attribute information; -user attribute tag information; and recommending the set group to the user with the user attribute corresponding to the group attribute, and acquiring group offer recommendation control information.
Preferably, the group management module further comprises: group member behavior liveness judging module: acquiring active state information and inactive state information of the group members according to the behavior state information of the group members; the automatic grouping module further comprises: an inactive member substitution module: and removing the inactive members in the group according to the inactive state information of the group members, adding new members into the set group, and updating the number information of the group members of the set group.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention creatively realizes the group associated variety quotations (individual stocks, indexes, plates, funds and the like), an automatic grouping system and a group offer recommendation mechanism, and innovations of 3 dimensions respectively solve the technical problems of 3 aspects and realize the maximum utility conversion of groups;
2. the invention has group associated variety quotation, and realizes a first group quotation system: the method has the advantages that the combination of the group and the quotations of the varieties such as stocks, indexes, funds and the like is realized for the first time, the group members can check the quotations while interacting and exchanging, and can finish the transaction, so that the different use scene requirements of users who are not in communication are met, the related quotation trends can be checked while interacting, and the transaction is finally promoted;
3. the invention has an automatic grouping system: realizing infinite traffic browsing of groups and intercommunication among groups;
4. the invention has a group offer recommendation mechanism, meets the requirement of insufficient exposure of group flow, and provides specific quantitative flow requirement for the group.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a schematic flow chart of the present invention.
Fig. 2 is a schematic diagram of the framework of the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
The group operation method suitable for social software provided in the invention as shown in fig. 1 and 2 comprises the following steps: a user type judging step: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information; a user classification step: acquiring formal group member tag information according to the confirmed group entering result information; acquiring temporary group member tag information according to the unconfirmed group entering result information; and a user screening step: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information; group management: managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the behavior states of the group members and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group; the culling user control information indicates culling user behavior.
Specifically, in one embodiment, a group operation method performs unique processing on the basis of a traditional public group, a traditional public group user can enter the group without verification, but the traditional public group user can also receive a group message after returning, the group chat can be withdrawn after active operation withdrawal is needed, if the group algorithm is that the user directly enters a temporary group member under the public condition, speaking and other operations can be performed, and as long as the user does not click on the confirmation of the group, the user returns, the algorithm automatically eliminates the user from the group and does not receive the group chat message any more.
The invention can be a novel group algorithm and an operation method existing in some APP, the novel group algorithm is based on the traditional group function, the group-related variety quotation (individual stock, index, plate, foundation and the like), the automatic grouping algorithm and the group offer recommendation mechanism are originally realized, the novel group algorithm and the operation method are not limited to social chat tools, and the group function can be widely popularized in the Internet industries such as social and electronic commerce and the like, and a great imagination space can be brought. The group algorithm and the operation and recommendation method break through a novel group mode and an operation method thereof based on the basic function of the traditional group, and the group algorithm is a public infinite flow browsing group algorithm; the method can be combined with scenes such as stock quotation, live broadcasting, short video and the like, and can exchange and watch quotation at the same time and complete the whole transaction process; the group algorithm can change the commercial conversion more directly and more easily, obtain the flow through the offer recommendation mechanism, and realize the commercial conversion of the flow through the group interaction mode.
Preferably, the group management step further includes: grouping judgment: acquiring automatic allocation instruction information when the number of the group members newly entering the set group reaches a preset threshold according to the group member number information of the set group; a sub-group judging step: judging whether a subgroup outside the set group exists or not, and acquiring subgroup existence information or subgroup nonexistence information; automatic grouping: and automatically distributing the newly added group members to other groups according to the automatic distribution instruction information and the subgroup existence information.
Specifically, in one embodiment, the automatic grouping step in the group operation method is as follows: in order to realize infinite flow browsing of groups, the group algorithm also creates an automatic grouping algorithm, wherein the automatic grouping algorithm is to automatically distribute newly-entered group members to other groups after the number of newly-entered group members reaches a certain standard, taking group A as an example, when the number of formally-entered group members is smaller than the configured M value, the new members enter the group directly, when the number of formally-entered group members is larger than M, judging whether the group A has a configured subgroup, if not, adopting an automatic cleaning mechanism, automatically filtering and rejecting 1 non-active group member when the user enters the group A, ensuring that the number of formally-entered group members of the group A does not exceed the M value, when the group A is configured with the subgroup, automatically entering the group 1 when the number of formally-entered group members of the group 1 is smaller than the configured N, automatically entering the group when the number of formally-entered group members of the group 1 is larger than N, continuously judging whether the group A has subgroup 2, if not, automatically rejecting 1 non-active group member of the group 1 if not having the subgroup 2, ensuring that the formally-entered group members of the group 1 are not larger than N, if not having the configured group 2, automatically entering the group 2, and automatically entering the same subgroup logical sub-group after the group. Several configuration options are mentioned here: the group a has a formal group membership M, a formal group membership N, A for each subgroup, and X subgroups and the order of subgroups 1 and 2 … …, and the group a can be infinitely expanded by such a set of automatic grouping algorithm.
Preferably, the method further comprises: and (3) associated variety quotation step: and according to the theme information parameters, the group is associated with the theme information parameters to obtain the theme information display control information.
Preferably, the method further comprises: group quotation classification: configuring a transaction portal in a group to acquire group quotation type information; and acquiring quotation link information and transaction link information according to the group quotation type information. For example, after association, corresponding market trend changes are displayed on the list, the group chat is entered, the corresponding market trend is also displayed on the top of the group, so that people concerned about the market trend can check the market change without exiting the group chat, meanwhile, a transaction portal is arranged in the group, and the transaction can be completed directly in the group.
Specifically, in one embodiment, the group operation method includes the steps of associating varieties with quotations: realizing a group quotation algorithm; the group algorithm can be used for associating individual stocks, indexes and theme plates, displaying corresponding market trend changes on a list after association, entering group chat, displaying corresponding market trend on the top of the group, so that people who care about market trend can check market change without exiting the group chat, meanwhile, a transaction portal is arranged in the group, transaction can be directly completed in the group, the group quotation algorithm is divided into continuous transaction varieties such as stocks and funds, and discrete quotation algorithms such as spot quotation, and the like, and the two types of quotation and transaction links are distinguished.
Preferably, the group management step further includes: judging the activity degree of group member behaviors: acquiring active state information and inactive state information of the group members according to the behavior state information of the group members; the automatic grouping step further comprises: an inactive member substitution step: and removing the inactive members in the group according to the inactive state information of the group members, adding new members into the set group, and updating the number information of the group members of the set group.
Preferably, the method further comprises: matching user behavior state: acquiring user attribute tag information according to the user attribute parameters; group offer recommendation step: according to any one or more of the following: -group offer recommendation instruction information; -group attribute information; -user attribute tag information; and recommending the set group to the user with the user attribute corresponding to the group attribute, and acquiring group offer recommendation control information.
Specifically, in one embodiment, the group operation method includes the following steps of offer recommendation: the method comprises the steps that an offer card (an automatic distribution mechanism card) can be used in a group, after the use is successful, an algorithm can recommend the current group to users with the marked quantity of the offer card, the users can manually select user attributes needing to be offered, such as geographic position, gender, age, investment preference and the like, the algorithm can automatically match the offers, the algorithm automatically matches the offers can distribute the offers to users with corresponding images on a platform according to certain basic attributes of the current group, such as group type, group associated variety, service place, group number and activity (the last 7 days of speaking condition), for example, the A user uses 100 people offer cards in the B group to initiate the offers, and the algorithm accurately finds 100 users such as user C and the like through analyzing the attributes of the A user and the B group to recommend the B group to the users.
Those skilled in the art can understand the group running method applicable to social software provided by the invention as one embodiment of the group running system applicable to social software provided by the invention. That is, the group running system applicable to the social software can be implemented by executing the step flow of the group running method applicable to the social software.
The invention provides a group running system suitable for social software, which comprises: and a user type judging module: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information; and a user classification module: acquiring formal group member tag information according to the confirmed group entering result information; acquiring temporary group member tag information according to the unconfirmed group entering result information; and a user screening module: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information; group management module: and managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the group member behavior state and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group.
Preferably, the group management module further comprises: grouping judgment module: acquiring automatic allocation instruction information when the number of the group members newly entering the set group reaches a preset threshold according to the group member number information of the set group; a subgroup judging module: judging whether a subgroup outside the set group exists or not, and acquiring subgroup existence information or subgroup nonexistence information; automatic grouping module: and automatically distributing the newly added group members to other groups according to the automatic distribution instruction information and the subgroup existence information.
Preferably, the group running system applicable to the social software further comprises: and the associated variety quotation module: and according to the theme information parameters, the group is associated with the theme information parameters to obtain the theme information display control information. Group quotation classification module: configuring a transaction portal in a group to acquire group quotation type information; acquiring quotation link information and transaction link information according to the group quotation type information; matching user behavior state module: acquiring user attribute tag information according to the user attribute parameters; group offer recommendation module: according to any one or more of the following: -group offer recommendation instruction information; -group attribute information; -user attribute tag information; and recommending the set group to the user with the user attribute corresponding to the group attribute, and acquiring group offer recommendation control information.
Preferably, the group management module further comprises: group member behavior liveness judging module: acquiring active state information and inactive state information of the group members according to the behavior state information of the group members; the automatic grouping module further comprises: an inactive member substitution module: and removing the inactive members in the group according to the inactive state information of the group members, adding new members into the set group, and updating the number information of the group members of the set group.
The invention creatively realizes the group associated variety quotations (individual stocks, indexes, plates, funds and the like), an automatic grouping system and a group offer recommendation mechanism, and innovations of 3 dimensions respectively solve the technical problems of 3 aspects and realize the maximum utility conversion of groups; the invention has group associated variety quotation, and realizes a first group quotation system: the method has the advantages that the combination of the group and the quotations of the varieties such as stocks, indexes, funds and the like is realized for the first time, the group members can check the quotations while interacting and exchanging, and can finish the transaction, so that the different use scene requirements of users who are not in communication are met, the related quotation trends can be checked while interacting, and the transaction is finally promoted; the invention has an automatic grouping system: realizing infinite traffic browsing of groups and intercommunication among groups; the invention has a group offer recommendation mechanism, meets the requirement of insufficient exposure of group flow, and provides specific quantitative flow requirement for the group.
Those skilled in the art will appreciate that the invention provides a system and its individual devices, modules, units, etc. that can be implemented entirely by logic programming of method steps, in addition to being implemented as pure computer readable program code, in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units for realizing various functions included in the system can also be regarded as structures in the hardware component; means, modules, and units for implementing the various functions may also be considered as either software modules for implementing the methods or structures within hardware components.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (4)
1. A group running method applicable to social software, comprising:
a user type judging step: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information;
a user classification step: acquiring formal group member tag information according to the confirmed group entering result information;
acquiring temporary group member tag information according to the unconfirmed group entering result information;
and a user screening step: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information;
group management: managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the behavior states of the group members and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group;
the rejecting user control information indicates rejecting user behavior;
the group management step further comprises:
grouping judgment: acquiring automatic allocation instruction information when the number of the group members newly entering the set group reaches a preset threshold according to the group member number information of the set group;
a sub-group judging step: judging whether a subgroup outside the set group exists or not, and acquiring subgroup existence information or subgroup nonexistence information;
automatic grouping: according to the automatic allocation instruction information and the subgroup existence information, automatically allocating the newly added group members to other groups;
further comprises:
and (3) associated variety quotation step: according to the topic information parameters, the group related topic information parameters are used for obtaining topic information display control information;
further comprises:
group quotation classification: configuring a transaction portal in a group to acquire group quotation type information;
acquiring quotation link information and transaction link information according to the group quotation type information;
further comprises:
matching user behavior state: acquiring user attribute tag information according to the user attribute parameters;
group offer recommendation step: according to any one or more of the following:
-group offer recommendation instruction information;
-group attribute information;
-user attribute tag information;
and recommending the set group to the user with the user attribute corresponding to the group attribute, and acquiring group offer recommendation control information.
2. The method for group execution of social software of claim 1, wherein the group management step further comprises:
judging the activity degree of group member behaviors: acquiring active state information and inactive state information of the group members according to the behavior state information of the group members;
the automatic grouping step further comprises:
an inactive member substitution step: and removing the inactive members in the group according to the inactive state information of the group members, adding new members into the set group, and updating the number information of the group members of the set group.
3. A group execution system for social software, comprising:
and a user type judging module: acquiring group entering confirmation result information or non-group entering confirmation result information according to the group entering confirmation instruction information;
and a user classification module: acquiring formal group member tag information according to the confirmed group entering result information;
acquiring temporary group member tag information according to the unconfirmed group entering result information;
and a user screening module: acquiring and rejecting user control information according to the user return instruction information and temporary group member label information;
group management module: managing the formal group members in the set group according to the formal group member tag information and the temporary group member tag information, recording the behavior states of the group members and the number of the group members, and acquiring group attribute information, group member behavior state information and group member number information of the set group;
the group management module further comprises:
grouping judgment module: acquiring automatic allocation instruction information when the number of the group members newly entering the set group reaches a preset threshold according to the group member number information of the set group;
a subgroup judging module: judging whether a subgroup outside the set group exists or not, and acquiring subgroup existence information or subgroup nonexistence information;
automatic grouping module: according to the automatic allocation instruction information and the subgroup existence information, automatically allocating the newly added group members to other groups;
further comprises:
and the associated variety quotation module: according to the topic information parameters, the group related topic information parameters are used for obtaining topic information display control information;
group quotation classification module: configuring a transaction portal in a group to acquire group quotation type information;
acquiring quotation link information and transaction link information according to the group quotation type information;
matching user behavior state module: acquiring user attribute tag information according to the user attribute parameters;
group offer recommendation module: according to any one or more of the following:
-group offer recommendation instruction information;
-group attribute information;
-user attribute tag information;
and recommending the set group to the user with the user attribute corresponding to the group attribute, and acquiring group offer recommendation control information.
4. The group execution system for social software of claim 3, wherein the group management module further comprises:
group member behavior liveness judging module: acquiring active state information and inactive state information of the group members according to the behavior state information of the group members;
the automatic grouping module further comprises:
an inactive member substitution module: and removing the inactive members in the group according to the inactive state information of the group members, adding new members into the set group, and updating the number information of the group members of the set group.
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| CN113300935B (en) * | 2020-09-15 | 2023-05-26 | 阿里巴巴集团控股有限公司 | Group processing method, terminal device, server device and storage medium |
| CN116881577A (en) * | 2023-07-18 | 2023-10-13 | 南京拓界信息技术有限公司 | Method for analyzing key figures in evidence collection of mobile phone |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102708488A (en) * | 2012-01-16 | 2012-10-03 | 陈晓亮 | Group user service transaction system and group user service transaction method |
| CN104301359A (en) * | 2013-07-19 | 2015-01-21 | 深圳市友福同享信息科技有限公司 | Method and system for displaying user relation in network community via groups |
| WO2016177232A1 (en) * | 2015-07-17 | 2016-11-10 | 中兴通讯股份有限公司 | Group service control method and system |
| CN107169768A (en) * | 2016-03-07 | 2017-09-15 | 阿里巴巴集团控股有限公司 | The acquisition methods and device of abnormal transaction data |
| CN107317688A (en) * | 2017-07-25 | 2017-11-03 | 薛江炜 | The device and method of communication group is created based on tag along sort |
| CN107508742A (en) * | 2017-07-25 | 2017-12-22 | 深圳市爱的网络科技有限公司 | A kind of social intercourse system, terminal and computer-readable recording medium |
| CN109639444A (en) * | 2019-02-20 | 2019-04-16 | 腾讯科技（深圳）有限公司 | Message treatment method, device, electronic equipment and storage medium |
| CN109787785A (en) * | 2019-02-01 | 2019-05-21 | 杭州来布科技有限公司 | Group management, background server and terminal |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| AU2003900153A0 (en) * | 2003-01-15 | 2003-01-30 | Super Internet Site System Pty Ltd | Spatial marketing system |
| US20100241576A1 (en) * | 2009-03-23 | 2010-09-23 | Zohar Beeri | System, method and computer program product for social network based transactions |
| US20130091001A1 (en) * | 2010-10-26 | 2013-04-11 | Baynote, Inc. | Behavior-Based Online Deal Transactions |
-
2019
- 2019-09-18 CN CN201910882124.XA patent/CN110727877B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102708488A (en) * | 2012-01-16 | 2012-10-03 | 陈晓亮 | Group user service transaction system and group user service transaction method |
| CN104301359A (en) * | 2013-07-19 | 2015-01-21 | 深圳市友福同享信息科技有限公司 | Method and system for displaying user relation in network community via groups |
| WO2016177232A1 (en) * | 2015-07-17 | 2016-11-10 | 中兴通讯股份有限公司 | Group service control method and system |
| CN107169768A (en) * | 2016-03-07 | 2017-09-15 | 阿里巴巴集团控股有限公司 | The acquisition methods and device of abnormal transaction data |
| CN107317688A (en) * | 2017-07-25 | 2017-11-03 | 薛江炜 | The device and method of communication group is created based on tag along sort |
| CN107508742A (en) * | 2017-07-25 | 2017-12-22 | 深圳市爱的网络科技有限公司 | A kind of social intercourse system, terminal and computer-readable recording medium |
| WO2019019579A1 (en) * | 2017-07-25 | 2019-01-31 | 深圳市爱的网络科技有限公司 | Social system, terminal, and computer readable storage medium |
| CN109787785A (en) * | 2019-02-01 | 2019-05-21 | 杭州来布科技有限公司 | Group management, background server and terminal |
| CN109639444A (en) * | 2019-02-20 | 2019-04-16 | 腾讯科技（深圳）有限公司 | Message treatment method, device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 王芳 ; 翟羽佳 ; .微信群社会结构及其演化:基于文本挖掘的案例分析.情报学报.2016,(06),全文. * |
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