CN108536726A - A kind of good friend's intelligent recommendation method and system social in the school - Google Patents
A kind of good friend's intelligent recommendation method and system social in the school Download PDFInfo
- Publication number
- CN108536726A CN108536726A CN201810158065.7A CN201810158065A CN108536726A CN 108536726 A CN108536726 A CN 108536726A CN 201810158065 A CN201810158065 A CN 201810158065A CN 108536726 A CN108536726 A CN 108536726A
- Authority
- CN
- China
- Prior art keywords
- user
- good friend
- account information
- identification information
- priority
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
The invention discloses a kind of good friend's intelligent recommendation method and system social in the school,The account information sent by receiving multiple mobile terminals,Each account information is screened according to default archive database,Using the account information after screening as target account information,Institute's identification information is obtained from each target account information,Determine that the good friend between the corresponding each user of each target account information pushes priority according to each institute's identification information,Collect the corresponding historical behavior data of each user,The targets of interest of each user is determined according to the historical behavior data,Priority, which is pushed, according to the targets of interest and the good friend carries out good friend's intelligent recommendation,Good communication on campus circle can be established,The safety of user account information is ensured,And it is more prone to control effectively to user account and manage,Reduce the risk that user data leaks,Targets of interest is recommended to be more in line with the social custom of user,The user experience is improved.
Description
Technical field
The present invention relates to network social intercourse fields, more particularly, to a kind of good friend's intelligent recommendation method and system social in the school.
Background technology
Since Internet technology is gradually popularized in daily life consumption, daily life demand is increasingly be unable to do without
Internet, shopping, diet, information, amusement and social communication etc. are all to need to apply to internet, and wherein social communication is even more existing
For people it is indispensable daily life custom, but a large amount of third party applications introduced in public social networking system also to
The individual privacy protection of user brings potentially large number of problem.In communication on campus network system, although the letter between user
Appoint sense stronger, is more willing to share personal information and publication content relative to the user in public social networks, but is used from protection
From the point of view of the information security at family, existing communication on campus platform is easy due to the protection setting of limited coarseness due to not
The intervention of bright account or unidentified personnel steal the account data using user by illegal channels, are carrying out social activity in the school
During the people unknown due to being mixed into actual identity, and cause the privacy leakage even economic loss of user, one can not be provided
A good social campus circle, and no the characteristics of being directed to communication on campus recommendation campus good friend helps campus user to establish good society
Circle is handed over, therefore, a kind of more safely and effectively communication on campus mode of urgent need builds one to realize the safety of subscriber data
Good social activity campus circle.
Invention content
It is an object of the invention to overcome above-mentioned technical deficiency, proposes a kind of good friend's intelligent recommendation method social in the school and be
System, solves above-mentioned technical problem in the prior art.
To reach above-mentioned technical purpose, technical scheme of the present invention provides a kind of good friend's intelligent recommendation method social in the school,
Including:
S1, the account information that multiple mobile terminals are sent is received, each account information is carried out according to default archive database
Screening, using the account information after screening as target account information;
S2, institute's identification information is obtained from each target account information, each target account is determined according to each institute's identification information
Good friend between number corresponding each user of information pushes priority;
S3, the corresponding historical behavior data of each user are collected, the interest of each user is determined according to the historical behavior data
Target pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation.
The present invention also provides a kind of good friend's intelligent recommendation systems social in the school, including:
Account screening module:The account information sent for receiving multiple mobile terminals, according to default archive database pair
Each account information is screened, using the account information after screening as target account information;
Priority Determination module:For obtaining institute's identification information from each target account information, identified according to each institute
Information determines that the good friend between the corresponding each user of each target account information pushes priority;
Friend recommendation module:It is true according to the historical behavior data for collecting the corresponding historical behavior data of each user
The targets of interest of fixed each user pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation.
Compared with prior art, beneficial effects of the present invention include:The account letter sent by receiving multiple mobile terminals
Breath, screens each account information according to default archive database, using the account information after screening as target account information,
Institute's identification information is obtained from each target account information, determines that each target account information is corresponding according to each institute's identification information
Good friend between each user pushes priority, the corresponding historical behavior data of each user is collected, according to the historical behavior data
The targets of interest for determining each user pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation;It is logical
It crosses and account information is screened, and determine that good friend pushes priority by account information, determine the targets of interest of user in turn
The characteristics of carrying out intelligent friend recommendation, capable of being directed to communication on campus intelligent recommendation good friend, establishes good communication on campus circle, protects
Hinder the safety of user account information, and be more prone to control effectively to user account and manage, reduces number of users
According to the risk to leak, targets of interest is recommended to be more in line with the social custom of user, the user experience is improved.
Description of the drawings
Fig. 1 is a kind of good friend's intelligent recommendation method flow diagram social in the school provided by the invention;
Fig. 2 is a kind of good friend's intelligent recommendation system structure diagram social in the school provided by the invention.
In attached drawing:1, social good friend's intelligent recommendation system in the school, 11, account screening module, 12, Priority Determination module,
13, friend recommendation module.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The present invention provides a kind of good friend's intelligent recommendation methods social in the school, including:
S1, the account information that multiple mobile terminals are sent is received, each account information is carried out according to default archive database
Screening, using the account information after screening as target account information;
S2, institute's identification information is obtained from each target account information, each target account is determined according to each institute's identification information
Good friend between number corresponding each user of information pushes priority;
S3, the corresponding historical behavior data of each user are collected, the interest of each user is determined according to the historical behavior data
Target pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation.
Good friend's intelligent recommendation method social in the school of the present invention, the step S1 specifically include following steps:
S11, the raw file data for obtaining this school teachers and students and employee are established according to the raw file data and preset archives
Database;The default archive database is the pre-set database for storing this school teachers and students and Employee Profile information,
Generally using the archive information in the default archive database as the archive information for calibration;
S12, the account information that multiple mobile terminals are sent is received, according to the default archive database to each account information
It is screened;The account information is the information that user inserts in register account number;
S13, by the key message account identical with the key message in the default archive database in each account information
Number information is as target account information;Key message in each account information is representative information, you can with directly really
The information for determining the corresponding user identity of account information, may include user name, campus number, class's information, grade's information, specially
Industry information, institute's information and ID card No. information, naturally it is also possible to can directly determine account information pair including other types
The information for the user identity answered, the present embodiment do not limit this.
Good friend's intelligent recommendation method social in the school of the present invention, in above-mentioned steps S13:
By the key message account letter identical with the key message in the default archive database in each account information
Breath is used as the target account information, i.e., finds the key message in each account information in the default archive database
Corresponding account data, and then compare one by one, it sees whether meet default screening rule, the account for meeting default screening rule is believed
Breath is used as the target account information, and the default screening rule, which can compare, unanimously then thinks successful match, compares knot
Fruit it is inconsistent then think that it fails to match, the default screening rule can also be through certain current account of weight ratio calculation
The matching degree of information and the corresponding account information in the default archive database, when the matching degree reaches preset matching degree threshold
When value, current account information is judged for the target account information, when the matching degree is not up to the preset matching degree threshold value
When, judge current account information for wrong account information, certain default screening rule can also be by other means into
Row screening determines whether each account information is target account information, and the present embodiment does not limit this;
By the key message account letter identical with the key message in the default archive database in each account information
Breath is used as target account information, by being screened to account information, it can be ensured that disabled user or criminal are using in the school
The convenience of social platform is stolen using user privacy information, is avoided privacy of user leakage and economic loss, has been ensured user
The safety of account information, and be more prone to control effectively to user account and manage, reduce what user data leaked
Risk, the user experience is improved.
Good friend's intelligent recommendation method social in the school of the present invention, the step S2 specifically include following steps:
S21, institute's identification information is obtained from each target account information, each mesh is transferred out in institute's identification information
Mark the department's identification information and class's identification information of the corresponding each user of account information;
S22, the corresponding each user of each target account information is determined according to department's identification information and class's identification information
Between good friend push priority.
Good friend's intelligent recommendation method social in the school of the present invention, in the step S21:
Institute's identification information includes class of institute's parameter information i.e. where department's identification information, user where user
Grade's parameter information where professional parameter information and user where parameter information, that is, class's identification information, user, certainly also
May include the other kinds of information for identity user institute identity, the present embodiment does not limit this;Described in acquisition
After institute's identification information, the corresponding each user of each target account information can be transferred out from institute's identification information or function
Department's identification information and class's identification information, confirm that good friend pushes priority determination and prepares to be follow-up.
Good friend's intelligent recommendation method social in the school of the present invention, the step S22 are specially:
The good friend that the identical user of department's identification information is arranged pushes the priority user different higher than department's identification information
Good friend push priority;It is different higher than class's identification information that the good friend of the identical user of class's identification information pushes priority
The good friend of user pushes priority;The good friend of the identical user of department's identification information pushes priority higher than class mark
The good friend for knowing the identical user of information pushes priority.
Good friend's intelligent recommendation method social in the school of the present invention, in the step S22:
Transferred out from institute's identification information the corresponding each user of each target account information department's identification information and
After class's identification information, the class and institute where each user can determine, the class where the user and institute's energy
Enough determine that the good friend between each user pushes priority;
It is understood that can determine each target account information according to department's identification information and class's identification information
The class and department of corresponding each user can determine that good friend pushes priority according to the relationship between class and department,
The network of personal connections between each user can be established after knowing the class and department of each user, phase can be set according to the network of personal connections
The priority judgment rule answered can determine that the good friend between each user pushes priority according to the priority judgment rule,
The priority judgment rule of the present embodiment is that the good friend of the identical user of department's identification information pushes priority higher than department
The good friend of the different user of identification information pushes priority;The good friend of the identical user of class's identification information pushes priority and is higher than
The good friend of the different user of class's identification information pushes priority;Good friend's push of the identical user of department's identification information is excellent
First grade pushes priority higher than the good friend of the identical user of class's identification information, can also be that other are preset certainly
Priority judgment rule, the present embodiment do not limit this;
In the concrete realization, it is determined that, not only can be according to the good friend after the good friend between each user pushes priority
Priority is pushed to user's commending friends, it is pre- to user's push correlated activation content that priority can also be pushed according to the good friend
It accuses and the examination message such as message, priority can also be pushed according to the good friend push class's the time of meeting to user and remind etc. it
The message of his type, the present embodiment do not limit this;Determine that the good friend between each user pushes by institute's identification information
Priority can improve the speed and efficiency of good friend's push, reduce the complexity of user management, can establish good campus
Social circle, the user experience is improved.
Good friend's intelligent recommendation method social in the school of the present invention, the step S3 specifically include following steps:
S31, the corresponding historical behavior data of each user are collected, the interest of each user is determined according to the historical behavior data
Target;
S32, friend recommendation relation list is established to the user with same interest target, according to the friend recommendation relationship
List and the good friend push priority and carry out good friend's intelligent recommendation.
Good friend's intelligent recommendation method social in the school of the present invention, in step S31:
The historical behavior data be user generated after login account with the relevant historical behavior data of account, root
The targets of interest for obtaining each user can be analyzed according to the historical behavior data, the targets of interest can be individual, can also
Be group, such as some corporation, can also be some things and activity etc., can also be certainly other kinds of object for example certain
Video, webpage and audio etc. on a little lines, the present embodiment does not limit this.It can be remembered by collecting the historical search of each user
The regular job custom of record, historical viewings record and user, such as stop the duration and historical review note of a page
Record, analyzes from the various historical records about user, generates corresponding analysis result as the historical behavior number
According to.
Good friend's intelligent recommendation method social in the school of the present invention, in step S32:
After the targets of interest for determining each user, interest calibration can will be carried out with the user of same interest target, and build
The network of personal connections of the vertical user with same interest calibration, friend recommendation relation list is established according to the network of personal connections of the user, from
And priority can be pushed according to the friend recommendation relation list and the good friend and carry out good friend's intelligent recommendation.It is implementing
In, after the targets of interest for determining each user, mutual friend recommendation can be carried out to the user with same interest target, to
The social circle in the school of extending user can be according to default scoring rule to user certainly when the targets of interest of user is multiple
Targets of interest give a mark, preferentially select the high targets of interest of score as main targets of interest, and then according to main
Targets of interest carries out establishing friend recommendation relation list progress good friend's intelligent recommendation, can also be and establishes by other means certainly
Friend recommendation relation list carries out good friend's intelligent recommendation in turn, and the present embodiment does not limit this.
The present invention also provides a kind of good friend's intelligent recommendation systems 1 social in the school, including:
Account screening module 11:The account information sent for receiving multiple mobile terminals, according to default archive database
Each account information is screened, using the account information after screening as target account information;
Priority Determination module 12:For obtaining institute's identification information from each target account information, marked according to each institute
Know information and determines that the good friend between the corresponding each user of each target account information pushes priority;
Friend recommendation module 13:For collecting the corresponding historical behavior data of each user, according to the historical behavior data
The targets of interest for determining each user pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation.
Good friend's intelligent recommendation system 1 social in the school of the present invention, the account screening module 11 include:
Database unit:Raw file data for obtaining this school teachers and students and employee, according to the raw file
Data, which are established, presets archive database;
Account information screening unit:The account information sent for receiving multiple mobile terminals, according to the default archives
Database screens each account information;
Account information comparing unit:For will key message in each account information in the default archive database
The identical account information of key message is as target account information.
Good friend's intelligent recommendation system 1 social in the school of the present invention, the Priority Determination module 12 include:
Identification information extraction unit:For obtaining institute's identification information from each target account information, marked in the institute
Know the department's identification information and class's identification information that the corresponding each user of each target account information is transferred out in information;
Good friend's push unit:For determining each target account information according to department's identification information and class's identification information
Good friend between corresponding each user pushes priority.
Good friend's intelligent recommendation system 1 social in the school of the present invention, good friend's push unit is additionally operable to:
The good friend that the identical user of department's identification information is arranged pushes the priority user different higher than department's identification information
Good friend push priority;It is different higher than class's identification information that the good friend of the identical user of class's identification information pushes priority
The good friend of user pushes priority;The good friend of the identical user of department's identification information pushes priority higher than class mark
The good friend for knowing the identical user of information pushes priority.
Good friend's intelligent recommendation system 1 social in the school of the present invention, the friend recommendation module 13 include:
Targets of interest determination unit:For collecting the corresponding historical behavior data of each user, according to the historical behavior number
According to the targets of interest of each user of determination;
Good friend's intelligent recommendation unit:For establishing friend recommendation relation list, root to the user with same interest target
Priority, which is pushed, according to the friend recommendation relation list and the good friend carries out good friend's intelligent recommendation.
Compared with prior art, beneficial effects of the present invention include:The account letter sent by receiving multiple mobile terminals
Breath, screens each account information according to default archive database, using the account information after screening as target account information,
Institute's identification information is obtained from each target account information, determines that each target account information is corresponding according to each institute's identification information
Good friend between each user pushes priority, the corresponding historical behavior data of each user is collected, according to the historical behavior data
The targets of interest for determining each user pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation;It is logical
It crosses and account information is screened, and determine that good friend pushes priority by account information, determine the targets of interest of user in turn
The characteristics of carrying out intelligent friend recommendation, capable of being directed to communication on campus intelligent recommendation good friend, establishes good communication on campus circle, protects
Hinder the safety of user account information, and be more prone to control effectively to user account and manage, reduces number of users
According to the risk to leak, targets of interest is recommended to be more in line with the social custom of user, the user experience is improved.
The specific implementation mode of present invention described above, is not intended to limit the scope of the present invention..Any basis
The various other corresponding changes and deformation that the technical concept of the present invention is made, should be included in the guarantor of the claims in the present invention
It protects in range.
Claims (10)
1. a kind of good friend's intelligent recommendation method social in the school, which is characterized in that including:
S1, the account information that multiple mobile terminals are sent is received, each account information is screened according to default archive database,
Using the account information after screening as target account information;
S2, institute's identification information is obtained from each target account information, determine that each target account is believed according to each institute's identification information
The good friend ceased between corresponding each user pushes priority;
S3, the corresponding historical behavior data of each user are collected, the targets of interest of each user are determined according to the historical behavior data,
Priority, which is pushed, according to the targets of interest and the good friend carries out good friend's intelligent recommendation.
2. good friend's intelligent recommendation method social in the school as described in claim 1, which is characterized in that the step S1 is specifically included
Following steps:
S11, the raw file data for obtaining this school teachers and students and employee are established according to the raw file data and preset file data
Library;
S12, the account information that multiple mobile terminals are sent is received, each account information is carried out according to the default archive database
Screening;
S13, the key message account identical with the key message in the default archive database in each account information is believed
Breath is used as target account information.
3. good friend's intelligent recommendation method social in the school as described in claim 1, which is characterized in that the step S2 is specifically included
Following steps:
S21, institute's identification information is obtained from each target account information, each target account is transferred out in institute's identification information
The department's identification information and class's identification information of number corresponding each user of information;
S22, it is determined according to department's identification information and class's identification information between the corresponding each user of each target account information
Good friend push priority.
4. social good friend's intelligent recommendation method in the school as claimed in claim 3, which is characterized in that the step S22 is specially:
Good friend's push priority that the identical user of department's identification information is arranged is good higher than the different user of department's identification information
Friend's push priority;The good friend of the identical user of class's identification information pushes the priority user different higher than class's identification information
Good friend push priority;The good friend of the identical user of department's identification information pushes priority higher than class mark letter
The good friend for ceasing identical user pushes priority.
5. good friend's intelligent recommendation method social in the school as described in claim 1, which is characterized in that the step S3 is specifically included
Following steps:
S31, the corresponding historical behavior data of each user are collected, the interest mesh of each user is determined according to the historical behavior data
Mark;
S32, friend recommendation relation list is established to the user with same interest target, according to the friend recommendation relation list
Priority, which is pushed, with the good friend carries out good friend's intelligent recommendation.
6. a kind of good friend's intelligent recommendation system social in the school, which is characterized in that including:
Account screening module:The account information sent for receiving multiple mobile terminals, according to default archive database to each account
Number information is screened, using the account information after screening as target account information;
Priority Determination module:For obtaining institute's identification information from each target account information, according to each institute's identification information
Determine that the good friend between the corresponding each user of each target account information pushes priority;
Friend recommendation module:For collecting the corresponding historical behavior data of each user, determined according to the historical behavior data each
The targets of interest of user pushes priority according to the targets of interest and the good friend and carries out good friend's intelligent recommendation.
7. good friend's intelligent recommendation system social in the school as claimed in claim 6, which is characterized in that the account screening module packet
It includes:
Database unit:Raw file data for obtaining this school teachers and students and employee, according to the raw file data
It establishes and presets archive database;
Account information screening unit:The account information sent for receiving multiple mobile terminals, according to the default file data
Library is screened by each account information;
Account information comparing unit:For by the key in key message and the default archive database in each account information
The identical account information of information is as target account information.
8. good friend's intelligent recommendation system social in the school as claimed in claim 6, which is characterized in that the Priority Determination module
Including:
Identification information extraction unit:For obtaining institute's identification information from each target account information, identifies and believe in the institute
The department's identification information and class's identification information of the corresponding each user of each target account information are transferred out in breath;
Good friend's push unit:For determining that each target account information corresponds to according to department's identification information and class's identification information
Each user between good friend push priority.
9. good friend's intelligent recommendation system social in the school as claimed in claim 8, which is characterized in that good friend's push unit is also
For:
Good friend's push priority that the identical user of department's identification information is arranged is good higher than the different user of department's identification information
Friend's push priority;The good friend of the identical user of class's identification information pushes the priority user different higher than class's identification information
Good friend push priority;The good friend of the identical user of department's identification information pushes priority higher than class mark letter
The good friend for ceasing identical user pushes priority.
10. good friend's intelligent recommendation system social in the school as claimed in claim 6, which is characterized in that the friend recommendation module
Including:
Targets of interest determination unit:It is true according to the historical behavior data for collecting the corresponding historical behavior data of each user
The targets of interest of fixed each user;
Good friend's intelligent recommendation unit:For establishing friend recommendation relation list to the user with same interest target, according to institute
It states friend recommendation relation list and the good friend pushes priority and carries out good friend's intelligent recommendation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810158065.7A CN108536726A (en) | 2018-02-25 | 2018-02-25 | A kind of good friend's intelligent recommendation method and system social in the school |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810158065.7A CN108536726A (en) | 2018-02-25 | 2018-02-25 | A kind of good friend's intelligent recommendation method and system social in the school |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108536726A true CN108536726A (en) | 2018-09-14 |
Family
ID=63485523
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810158065.7A Pending CN108536726A (en) | 2018-02-25 | 2018-02-25 | A kind of good friend's intelligent recommendation method and system social in the school |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108536726A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109816545A (en) * | 2019-03-26 | 2019-05-28 | 长安大学 | A kind of campus dating system and method |
CN109815324A (en) * | 2019-01-10 | 2019-05-28 | 平安科技(深圳)有限公司 | Querying method, device, computer equipment and the storage medium of campus information |
CN113426118A (en) * | 2021-06-24 | 2021-09-24 | 咪咕互动娱乐有限公司 | Information display method, device, equipment and computer program product |
CN114900554A (en) * | 2022-04-28 | 2022-08-12 | 北京北春园商贸有限责任公司 | Social media information accurate pushing system and device based on big data |
CN114936329A (en) * | 2022-07-22 | 2022-08-23 | 江西水利职业学院(江西省水利水电学校、江西省灌溉排水发展中心、江西省水利工程技师学院) | Social contact management method and system based on campus library |
Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102317941A (en) * | 2011-07-30 | 2012-01-11 | 华为技术有限公司 | Information recommending method, recommending engine and network system |
CN102831202A (en) * | 2012-08-08 | 2012-12-19 | 中兴通讯股份有限公司 | Method and system for pushing recommended friends to users of social network site |
CN103164480A (en) * | 2011-12-13 | 2013-06-19 | 北京千橡网景科技发展有限公司 | Method and equipment used for recommending interest points in social network |
CN103460235A (en) * | 2011-03-14 | 2013-12-18 | 脸谱公司 | Offering social deals based on activities of connections in a social networking system |
CN103823888A (en) * | 2014-03-07 | 2014-05-28 | 安徽融数信息科技有限责任公司 | Node-closeness-based social network site friend recommendation method |
CN104021233A (en) * | 2014-06-30 | 2014-09-03 | 电子科技大学 | Social network friend recommendation method based on community discovery |
CN104462308A (en) * | 2014-11-27 | 2015-03-25 | 广东小天才科技有限公司 | Social network friend recommending method and system |
CN104717124A (en) * | 2013-12-13 | 2015-06-17 | 腾讯科技(深圳)有限公司 | Friend recommendation method, device and server |
CN105264560A (en) * | 2013-03-18 | 2016-01-20 | 索尼公司 | Systems, apparatus, and methods for social graph based recommendation |
CN105721288A (en) * | 2016-02-26 | 2016-06-29 | 云南六个人网络科技有限公司 | Online accurate communication system and method thereof |
CN105787800A (en) * | 2016-03-30 | 2016-07-20 | 成都高合盛科技有限责任公司 | Intelligent social platform potential contact retrieval device, system and method |
CN106056455A (en) * | 2016-06-02 | 2016-10-26 | 南京邮电大学 | Group and place recommendation method based on location and social relationship |
CN106970914A (en) * | 2016-01-12 | 2017-07-21 | 北京京东尚科信息技术有限公司 | A kind of friend recommendation method and device based on social electric business |
CN107070702A (en) * | 2017-03-13 | 2017-08-18 | 中国人民解放军信息工程大学 | User account correlating method and its device based on cooperative game SVMs |
CN107169063A (en) * | 2017-05-03 | 2017-09-15 | 西安交通大学 | A kind of user property Forecasting Methodology and system based on social information |
CN107341275A (en) * | 2017-09-12 | 2017-11-10 | 如皋福大工程技术研究院有限公司 | The method for pushing and device of alumnus's information |
CN107368520A (en) * | 2017-06-06 | 2017-11-21 | 成都移智有方科技有限公司 | Towards the human connection Managed Solution of University Enterprise resource integration platform |
-
2018
- 2018-02-25 CN CN201810158065.7A patent/CN108536726A/en active Pending
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103460235A (en) * | 2011-03-14 | 2013-12-18 | 脸谱公司 | Offering social deals based on activities of connections in a social networking system |
CN102317941A (en) * | 2011-07-30 | 2012-01-11 | 华为技术有限公司 | Information recommending method, recommending engine and network system |
CN103164480A (en) * | 2011-12-13 | 2013-06-19 | 北京千橡网景科技发展有限公司 | Method and equipment used for recommending interest points in social network |
CN102831202A (en) * | 2012-08-08 | 2012-12-19 | 中兴通讯股份有限公司 | Method and system for pushing recommended friends to users of social network site |
CN105264560A (en) * | 2013-03-18 | 2016-01-20 | 索尼公司 | Systems, apparatus, and methods for social graph based recommendation |
CN104717124A (en) * | 2013-12-13 | 2015-06-17 | 腾讯科技(深圳)有限公司 | Friend recommendation method, device and server |
CN103823888A (en) * | 2014-03-07 | 2014-05-28 | 安徽融数信息科技有限责任公司 | Node-closeness-based social network site friend recommendation method |
CN104021233A (en) * | 2014-06-30 | 2014-09-03 | 电子科技大学 | Social network friend recommendation method based on community discovery |
CN104462308A (en) * | 2014-11-27 | 2015-03-25 | 广东小天才科技有限公司 | Social network friend recommending method and system |
CN106970914A (en) * | 2016-01-12 | 2017-07-21 | 北京京东尚科信息技术有限公司 | A kind of friend recommendation method and device based on social electric business |
CN105721288A (en) * | 2016-02-26 | 2016-06-29 | 云南六个人网络科技有限公司 | Online accurate communication system and method thereof |
CN105787800A (en) * | 2016-03-30 | 2016-07-20 | 成都高合盛科技有限责任公司 | Intelligent social platform potential contact retrieval device, system and method |
CN106056455A (en) * | 2016-06-02 | 2016-10-26 | 南京邮电大学 | Group and place recommendation method based on location and social relationship |
CN107070702A (en) * | 2017-03-13 | 2017-08-18 | 中国人民解放军信息工程大学 | User account correlating method and its device based on cooperative game SVMs |
CN107169063A (en) * | 2017-05-03 | 2017-09-15 | 西安交通大学 | A kind of user property Forecasting Methodology and system based on social information |
CN107368520A (en) * | 2017-06-06 | 2017-11-21 | 成都移智有方科技有限公司 | Towards the human connection Managed Solution of University Enterprise resource integration platform |
CN107341275A (en) * | 2017-09-12 | 2017-11-10 | 如皋福大工程技术研究院有限公司 | The method for pushing and device of alumnus's information |
Non-Patent Citations (1)
Title |
---|
刘卜: "移动社交网络平台的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109815324A (en) * | 2019-01-10 | 2019-05-28 | 平安科技(深圳)有限公司 | Querying method, device, computer equipment and the storage medium of campus information |
CN109816545A (en) * | 2019-03-26 | 2019-05-28 | 长安大学 | A kind of campus dating system and method |
CN113426118A (en) * | 2021-06-24 | 2021-09-24 | 咪咕互动娱乐有限公司 | Information display method, device, equipment and computer program product |
CN113426118B (en) * | 2021-06-24 | 2023-10-17 | 咪咕互动娱乐有限公司 | Information display method, device, equipment and computer readable storage medium |
CN114900554A (en) * | 2022-04-28 | 2022-08-12 | 北京北春园商贸有限责任公司 | Social media information accurate pushing system and device based on big data |
CN114936329A (en) * | 2022-07-22 | 2022-08-23 | 江西水利职业学院(江西省水利水电学校、江西省灌溉排水发展中心、江西省水利工程技师学院) | Social contact management method and system based on campus library |
CN114936329B (en) * | 2022-07-22 | 2022-11-04 | 江西水利职业学院(江西省水利水电学校、江西省灌溉排水发展中心、江西省水利工程技师学院) | Social contact management method and system based on campus library |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108536726A (en) | A kind of good friend's intelligent recommendation method and system social in the school | |
CN105188049B (en) | A kind of virtual SIM card service authorizing method, terminal, server and system | |
CN107889082B (en) | D2D device discovery method utilizing social relationship among users | |
CN106549902A (en) | A kind of recognition methods of suspicious user and equipment | |
US11240136B2 (en) | Determining attributes using captured network probe data in a wireless communications system | |
CN108924759B (en) | Method, device and system for identifying mobile generator | |
CN107347054A (en) | A kind of auth method and device | |
CN106961434A (en) | One kind carries out fingerprint modeling for wireless device and knows method for distinguishing | |
CN103686718A (en) | D2D (Device-to-Device) device identification label processing method and D2D device identification label processing device | |
DE102017111124A1 (en) | Secure and intelligent login facility | |
Comert et al. | Analysis of augmentation methods for RF fingerprinting under impaired channels | |
CN108347435A (en) | Security detection equipment and its collecting method for public place | |
US20140088965A1 (en) | Associating and locating mobile stations based on speech signatures | |
CN112818316B (en) | Voiceprint-based identity recognition and application method, device and equipment | |
WO2022029415A1 (en) | Identifying wireless network devices | |
CN104202462B (en) | Communication control method and system | |
CN106330580A (en) | Method and device for controlling monitoring equipment | |
CN107925881A (en) | Wireless telecom equipment, wireless communication system, appraisal procedure and the non-transitory computer-readable medium having program stored therein | |
CN110222187B (en) | Common activity detection and data sharing method for protecting user privacy | |
CN109219049B (en) | Pseudo base station identification method, pseudo base station identification device and computer readable storage medium | |
CN106101994B (en) | The treating method and apparatus of warning message | |
CN106341555A (en) | Communication monitoring method and device | |
CN106714269A (en) | Access method for edge AP (Access Point) in wireless network and system thereof | |
CN105975467A (en) | Method for Bluetooth-based video recommendation, mobile terminal and vehicle-mounted video player | |
CN106658495A (en) | Method, mobile terminal, platform and system used for logging in public WiFi |
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 | ||
AD01 | Patent right deemed abandoned | ||
AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20220415 |