CN107493225B - Network social contact method and system based on common interests - Google Patents
Network social contact method and system based on common interests Download PDFInfo
- Publication number
- CN107493225B CN107493225B CN201710301204.2A CN201710301204A CN107493225B CN 107493225 B CN107493225 B CN 107493225B CN 201710301204 A CN201710301204 A CN 201710301204A CN 107493225 B CN107493225 B CN 107493225B
- Authority
- CN
- China
- Prior art keywords
- user
- history
- attention
- query
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000006855 networking Effects 0.000 claims abstract description 25
- 238000012216 screening Methods 0.000 claims description 12
- 238000012163 sequencing technique Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
- G06F16/972—Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Primary Health Care (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Information Transfer Between Computers (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to a social networking method and a social networking system based on common interests, wherein the social networking method comprises the following steps: s10, acquiring a historical record table of a user, establishing an association relation between the user and the historical record table, and storing the association relation, wherein the historical record table comprises query entry information of the user in a specific time period; s20, when a record query request of a second user sent by a first user is received, acquiring a history record table corresponding to the second user, and sending the history record table to the first user. By implementing the technical scheme of the invention, the interest and the dynamics of the concerned people can be known in time by simulating the advancing direction of the original human to follow the similar foot prints on the snowfield around, so as to achieve the purpose of enlarging the social circle.
Description
Technical Field
The invention relates to the technical field of social networks, in particular to a social networking method and system based on common interests.
Background
At present, a plurality of social networking platforms are developed in the market, and users can publish contents on the social networking platforms for others to browse, and can also be used as audiences to browse information interested in themselves. However, the establishment of the user social circle is limited to only paying attention to a specific person through an attention mechanism to know the information issued by the attention person.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a social networking method and system based on common interests, aiming at the above-mentioned defects of the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: constructing a social networking method based on common interests, comprising the following steps:
s10, acquiring a historical record table of a user, establishing an association relation between the user and the historical record table, and storing the association relation, wherein the historical record table comprises query entry information of the user in a specific time period;
s20, when a record query request of a second user sent by a first user is received, acquiring a history record table corresponding to the second user, and sending the history record table to the first user.
Preferably, after the step S20, the method further includes:
and S30, searching according to the query entries in the history record table of the second user, and sending the search result to the first user.
Preferably, after the step S20, the method further includes:
s40, screening out a third user according to the query terms in the history list of the second user, wherein the query terms in the history list of the third user are at least partially the same as or similar to the query terms in the history list of the second user;
and S50, recommending the third user to the first user.
Preferably, when the number of the third users is plural, the method further includes:
and respectively comparing and analyzing the query terms in the history record table of each third user with the query terms in the history record table of the second user, and sequencing a plurality of third users according to the degree of correlation.
Preferably, the step S10 further includes:
acquiring an attribute table and/or an attention table and/or a fan table of a user, establishing an association relation between the user and the attribute table and/or the attention table and/or the fan table, and storing the association relation;
after the step S20, the method further includes:
s60, acquiring a fourth user according to the attribute table and/or the attention table and/or the fan table of the second user, wherein the attribute table of the fourth user and the attribute table of the second user have at least partially same attribute information, and/or the attention table of the fourth user and the attention table of the second user have at least partially same attention people, and/or the fan table of the fourth user and the fan table of the second user have at least partially same fans;
and S70, recommending the fourth user to the first user.
The invention also constructs a social networking system based on common interests, which comprises the following steps:
the storage module is used for acquiring a historical record table of a user, establishing an association relation between the user and the historical record table and storing the association relation, wherein the historical record table comprises query entry information of the user in a specific time period;
the receiving module is used for receiving a record query request of a second user sent by a first user;
the acquisition module is used for acquiring a history record table corresponding to the second user;
and the sending module is used for sending the history record table corresponding to the second user to the first user.
Preferably, a search module is also included, and,
the searching module is used for searching according to the query entries in the history record table of the second user;
the sending module is further configured to send the search result to the first user.
Preferably, the method further comprises the following steps:
the screening module is used for screening out a third user according to the query entry in the history list of the second user, and the query entry in the history list of the third user is at least partially the same as or similar to the query entry in the history list of the second user;
and the recommending module is used for recommending the third user to the first user.
Preferably, the number of the third users is plural, and the social networking system further includes:
and the sequencing module is used for respectively comparing and analyzing the query terms in the history record table of each third user with the query terms in the history record table of the second user and sequencing a plurality of third users according to the degree of correlation.
Preferably, the storage module is further configured to obtain an attribute table and/or an attention table and/or a fan table of a user, establish an association relationship between the user and the attribute table and/or the attention table and/or the fan table, and store the association relationship;
the screening module is further configured to obtain a fourth user according to the attribute table and/or the attention table of the second user, where the attribute table of the fourth user and the attribute table of the second user have at least partially the same attribute information, and/or the attention table of the fourth user and the attention table of the second user have at least partially the same attention person, and/or the fan table of the fourth user and the fan table of the second user have at least partially the same fans;
the recommending module is further configured to recommend the fourth user to the first user.
By implementing the technical scheme of the invention, the history record table of each user is obtained, and the user and the corresponding history record table are associated and stored. When a first user needs to inquire the inquiry terms of a second user, the history record table of the second user can be called from the stored history record table of each user and is sent to the first user, so that the first user can timely know the inquiry term information of the second user in a specific time period, namely, the network social mode can timely know the interest and the dynamics of a concerned person by simulating the forward direction of the original human to follow the similar foot prints on the snowfield, and the purpose of expanding the social circle is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts. In the drawings:
FIG. 1 is a flow chart of a social networking method based on common interests according to a first embodiment of the present invention;
FIG. 2 is a logical block diagram of a social networking system based on common interests according to a first embodiment of the present invention.
Detailed Description
When a user carries out network social contact through a network social contact platform, in order to enlarge the social circle of the user and know the interest and the dynamics of the concerned person in time, the invention provides a new network social contact mode, namely a snow model, which is a social contact mode simulating the original human, learns knowledge by finding similar foot prints on the snow around, and explores the advancing direction.
FIG. 1 is a flowchart of a first embodiment of a social networking method based on common interests according to the present invention, which can be applied in a server of a social networking system and includes the following steps:
s10, acquiring a historical record table of a user, establishing an association relation between the user and the historical record table, and storing the association relation, wherein the historical record table comprises query entry information of the user in a specific time period;
in this step, the specific time period may be set by the user or by default by the system, for example, the last week, the last month, or a specific month and day of the year to a day of the month of the year. In addition, as long as the user is an active user, the query entry of the user in a specific time period may change in real time, and therefore, the history table of the user needs to be updated in real time. And the history table of each user is collected, associated and stored, so that the history tables of all users are stored in the server.
S20, when a record query request of a second user sent by a first user is received, acquiring a history record table corresponding to the second user, and sending the history record table to the first user.
In this step, when a user needs to know the query entry of another user in a certain period of time, that is, wants to query the history table of another user, a record query request may be sent to the server, and the server calls up the history table of the another user from the stored history tables of all users and sends it to the corresponding user.
In an alternative embodiment, on the basis of the above embodiment, after the step S20, the method further includes the following steps:
and S30, searching according to the query entries in the history record table of the second user, and sending the search result to the first user.
In this embodiment, in addition to sending the history list of the second user to the first user, the search is also performed based on the query term in the history list of the second user, and the search result is also sent to the first user, so that the first user can know not only the query term of the second user in time but also the search result based on the query term.
In an alternative embodiment, on the basis of the above embodiment, after the step S20, the method further includes the following steps:
s40, screening out a third user according to the query terms in the history list of the second user, wherein the query terms in the history list of the third user are at least partially the same as or similar to the query terms in the history list of the second user;
and S50, recommending the third user to the first user.
In this embodiment, in order to further expand the social network circle of the user, the system may also actively recommend the user with the interested persons, and the recommended interested persons are screened according to the history table of the user, that is, if the query term in the history table of a certain user is found to be at least partially identical or similar to the query term in the history table of the second user, the user may be determined as a third user for recommendation.
Further, if the number of the third users is more than one, that is, a plurality of recommendable users are screened out, in this case, between step S40 and step S50, the following steps are further included:
and respectively comparing and analyzing the query terms in the history record table of each third user with the query terms in the history record table of the second user, and sequencing a plurality of third users according to the degree of correlation.
In this embodiment, the query terms in the history table of each third user are compared with the query terms in the history table of the second user and analyzed from the screened third users, the relevancy between each third user and the second user is determined, the third users are ranked according to the relevancy, and then, in step S50, the recommendation is given to the first user according to the ranking order of the third users.
In an alternative embodiment, on the basis of the above embodiment, step S10 further includes:
acquiring an attribute table and/or an attention table and/or a fan table of a user, establishing an association relation between the user and the attribute table and/or the attention table and/or the fan table, and storing the association relation;
in this step, the attribute table includes attribute information of the user, such as age, gender, region, profession, occupation, academic calendar, interests and hobbies, and the attribute information may be set by the user or may be obtained by the system in a self-learning manner. In addition, the focus table includes the user's focus persons, and the fan table includes the user's fans.
After step S20, the method further includes:
s60, acquiring a fourth user according to the attribute table and/or the attention table and/or the fan table of the second user, wherein the attribute table of the fourth user and the attribute table of the second user have at least partially same attribute information, and/or the attention table of the fourth user and the attention table of the second user have at least partially same attention people, and/or the fan table of the fourth user and the fan table of the second user have at least partially same fans;
in this step, the attribute table includes attribute information of the user such as age, sex, occupation, academic calendar, and hobby, and the focus table includes a person of interest of the user.
And S70, recommending the fourth user to the first user.
In this embodiment, in order to expand the social network circle of the user, the system may also actively recommend the user with the attention people, and the recommended attention people are screened according to the attribute table and/or the attention table of the user, that is, if it is found that the attribute table of a certain user and the attribute table of the second user have at least partially the same attribute information, and/or the attention table of a certain user and the attention table of the second user have at least partially the same attention people, the user may be determined as the fourth user to recommend.
Fig. 2 is a logical structure diagram of a social networking system based on common interests according to a first embodiment of the present invention, which can be applied in a server and specifically includes a storage module 11, a receiving module 12, an obtaining module 13, and a sending module 14. The storage module 11 is configured to obtain a history table of a user, establish an association relationship between the user and the history table, and store the association relationship, where the history table includes query entry information of the user in a specific time period; the receiving module 12 is configured to receive a record query request of a second user sent by a first user; the obtaining module 13 is configured to obtain a history table corresponding to the second user; the sending module 14 is configured to send the history table corresponding to the second user to the first user.
Furthermore, the network social contact system also comprises a searching module, wherein the searching module is used for searching according to the query terms in the history record table of the second user; the sending module is further configured to send the search result to the first user.
Furthermore, the social networking service system of the present invention further comprises a screening module and a recommending module, wherein the screening module is configured to screen out a third user according to the query terms in the history table of the second user, and the query terms in the history table of the third user are at least partially the same as or similar to the query terms in the history table of the second user; the recommending module is used for recommending the third user to the first user.
Further, if the number of the third users is multiple, the social networking system of the present invention may further include a ranking module, and the ranking module is configured to compare and analyze the query terms in the history table of each third user with the query terms in the history table of the second user, and rank the third users according to the degree of correlation.
Further, in the social networking system of the present invention, the storage module is further configured to obtain an attribute table and/or an attention table and/or a fan table of a user, establish an association relationship between the user and the attribute table and/or the attention table and/or the fan table, and store the association relationship; the screening module is further configured to obtain a fourth user according to the attribute table and/or the attention table of the second user, where the attribute table of the fourth user and the attribute table of the second user have at least partially the same attribute information, and/or the attention table of the fourth user and the attention table of the second user have at least partially the same attention person, and/or the fan table of the fourth user and the fan table of the second user have at least partially the same fans; the recommending module is further used for recommending the fourth user to the first user.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (6)
1. A social networking method based on common interests is characterized by comprising the following steps:
s10, acquiring a historical record table of a user, establishing an association relation between the user and the historical record table, and storing the association relation, wherein the historical record table comprises query entry information of the user in a specific time period;
s20, when a record query request of a second user sent by a first user is received, acquiring a history record table corresponding to the second user, and sending the history record table to the first user;
s30, searching according to the query entries in the history record table of the second user, and sending a search result to the first user;
s40, screening out a third user according to the query terms in the history list of the second user, wherein the query terms in the history list of the third user are at least partially the same as or similar to the query terms in the history list of the second user;
and S50, recommending the third user to the first user.
2. The common interest based social networking method of claim 1, wherein when the number of the third users is plural, further comprising:
and respectively comparing and analyzing the query terms in the history record table of each third user with the query terms in the history record table of the second user, and sequencing a plurality of third users according to the degree of correlation.
3. The method for social networking based on common interests according to claim 1, wherein the step S10 further comprises:
acquiring an attribute table and/or an attention table and/or a fan table of a user, establishing an association relation between the user and the attribute table and/or the attention table and/or the fan table, and storing the association relation;
after the step S20, the method further includes:
s60, acquiring a fourth user according to the attribute table and/or the attention table and/or the fan table of the second user, wherein the attribute table of the fourth user and the attribute table of the second user have at least partially same attribute information, and/or the attention table of the fourth user and the attention table of the second user have at least partially same attention people, and/or the fan table of the fourth user and the fan table of the second user have at least partially same fans;
and S70, recommending the fourth user to the first user.
4. A social networking system based on common interests, comprising:
the storage module is used for acquiring a historical record table of a user, establishing an association relation between the user and the historical record table and storing the association relation, wherein the historical record table comprises query entry information of the user in a specific time period;
the receiving module is used for receiving a record query request of a second user sent by a first user;
the acquisition module is used for acquiring a history record table corresponding to the second user;
the searching module is used for searching according to the query entries in the history record table of the second user;
the sending module is used for sending the history record table corresponding to the second user and the search result to the first user;
the screening module is used for screening out a third user according to the query entry in the history list of the second user, and the query entry in the history list of the third user is at least partially the same as or similar to the query entry in the history list of the second user;
and the recommending module is used for recommending the third user to the first user.
5. The social networking system based on common interests according to claim 4, wherein the number of the third users is plural, and the social networking system further comprises:
and the sequencing module is used for respectively comparing and analyzing the query terms in the history record table of each third user with the query terms in the history record table of the second user and sequencing a plurality of third users according to the degree of correlation.
6. The social networking system based on common interests according to claim 4, wherein the storage module is further configured to obtain an attribute table and/or an interest table and/or a fan table of a user, establish an association relationship between the user and the attribute table and/or the interest table and/or the fan table, and store the association relationship;
the screening module is further configured to obtain a fourth user according to the attribute table and/or the attention table of the second user, where the attribute table of the fourth user and the attribute table of the second user have at least partially the same attribute information, and/or the attention table of the fourth user and the attention table of the second user have at least partially the same attention person, and/or the fan table of the fourth user and the fan table of the second user have at least partially the same fans;
the recommending module is further configured to recommend the fourth user to the first user.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710301204.2A CN107493225B (en) | 2017-05-02 | 2017-05-02 | Network social contact method and system based on common interests |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710301204.2A CN107493225B (en) | 2017-05-02 | 2017-05-02 | Network social contact method and system based on common interests |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107493225A CN107493225A (en) | 2017-12-19 |
| CN107493225B true CN107493225B (en) | 2020-12-08 |
Family
ID=60643268
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710301204.2A Active CN107493225B (en) | 2017-05-02 | 2017-05-02 | Network social contact method and system based on common interests |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107493225B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109241120A (en) * | 2018-08-28 | 2019-01-18 | 国信优易数据有限公司 | A kind of user's recommended method and device |
| CN109886823A (en) * | 2019-02-25 | 2019-06-14 | 北京奇艺世纪科技有限公司 | A kind of recommended method and device of social circle |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100530185C (en) * | 2006-10-27 | 2009-08-19 | 北京搜神网络技术有限责任公司 | Network behavior based personalized recommendation method and system |
| KR101427213B1 (en) * | 2010-11-12 | 2014-08-14 | 한국전자통신연구원 | Modeling user interest pattern server and method for modeling user interest pattern |
| CN110162717B (en) * | 2014-06-05 | 2022-11-01 | 网易（杭州）网络有限公司 | Method and device for recommending friends |
| CN105468598B (en) * | 2014-08-18 | 2020-05-08 | 大连民族学院 | Friend recommendation method and device |
| CN104239450A (en) * | 2014-09-01 | 2014-12-24 | 百度在线网络技术（北京）有限公司 | Search recommending method and device |
| CN104899315A (en) * | 2015-06-17 | 2015-09-09 | 百度在线网络技术（北京）有限公司 | Method and device for pushing user information |
| CN106250466B (en) * | 2016-07-28 | 2020-08-07 | 百度在线网络技术（北京）有限公司 | Method and device for providing recommended search sequence |
| CN106446100A (en) * | 2016-09-13 | 2017-02-22 | 乐视控股（北京）有限公司 | Content recommendation method and device |
-
2017
- 2017-05-02 CN CN201710301204.2A patent/CN107493225B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN107493225A (en) | 2017-12-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9767218B2 (en) | Indexing edge-ranked based partitions | |
| US10133790B1 (en) | Ranking users based on contextual factors | |
| US20180368130A1 (en) | System and process for location-based information retrieval | |
| US9361387B2 (en) | Context-based services | |
| US9177336B2 (en) | Apparatuses and methods for recommending a path through an information space | |
| CN106471499B (en) | Method, system and storage medium for generating text summary about physical location | |
| US20170046753A1 (en) | Provisioning an interactive feedback service via a network | |
| US9760610B2 (en) | Personalized search using searcher features | |
| US10878478B2 (en) | Providing referrals to social networking users | |
| US20150019273A1 (en) | Systems and methods for creating and managing group activities over a data network | |
| US9633122B2 (en) | Systems and methods for web site customization based on time-of-day | |
| EP2040209A1 (en) | Method and system to predict and recommend future goal-orientated activity | |
| US20110196863A1 (en) | Tagged favorites from social network site for use in search request on a separate site | |
| US20130311270A1 (en) | Mood-based searching and/or advertising systems, apparatus and methods | |
| US20170091713A1 (en) | Privacy aware sharing implicit and explicit personal preferences for group planning | |
| US20130275417A1 (en) | System and method for generating activity recommendations | |
| JP2015201157A (en) | Dynamic content recommendation system using social network data | |
| KR20110134468A (en) | System and method of selecting a relevant user for introduction to a user in an online environment | |
| US20150058148A1 (en) | Systems and methods for automatically adjusting pricing for group activities over a data network | |
| US20160308800A1 (en) | Method and system for account recommendation | |
| US10684759B2 (en) | Settings management of an online service | |
| US20160246789A1 (en) | Searching content of prominent users in social networks | |
| CN107493225B (en) | Network social contact method and system based on common interests | |
| KR101556020B1 (en) | System and method for recommending blog based on interest according to age and sex | |
| US20150040015A1 (en) | Settings page redesign |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20171219 Assignee: Hangzhou Lai Bu Technology Co., Ltd. Assignor: Zhu Xiaojun Contract record no.: 2019440020024 Denomination of invention: A social networking method and system based on common interests License type: Exclusive License Record date: 20190426 |
|
| EE01 | Entry into force of recordation of patent licensing contract | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |