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Activity recommendation system and method based on online and offline double social relation

A social relationship, dual technology, applied in the field of social networking site friend recommendation

Active Publication Date: 2017-05-31
NORTHEASTERN UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, as mentioned above, in EBSN, there is no clear friend relationship between users of some applications, such as a typical Meetup application, so

Method used

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  • Activity recommendation system and method based on online and offline double social relation
  • Activity recommendation system and method based on online and offline double social relation
  • Activity recommendation system and method based on online and offline double social relation

Examples

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Embodiment Construction

[0076] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0077] In the embodiment of the present invention, such as figure 1 As shown, the activity recommendation system based on online and offline dual social relations includes: data collection and cleaning module, activity statistical analysis module, activity similarity acquisition module, dual social relationship influence factor acquisition module, user potential friend discovery module and user Interested activity recommendation module;

[0078] In the embodiment of the present invention, the data collection and cleaning module is used to obtain the activity data set of the target social networking site by using the data collection and cleaning module, and store the activity data set after data cleaning operation; the activity data set includes: event activity name , event activity start time, event activity end time, event activity location, event ac...

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Abstract

The invention provides an activity recommendation system and an activity recommendation method based on an online and offline double social relation, and belongs to the technical field of friend recommendation of a social network site. A target user potential friend discovering strategy is realized by utilizing an online same-group and off same-activity double social relation, and an available implementation method is provided for transplanting the traditional activity recommendation algorithm to an EBSN (event based on social networks) recommendation system; an activity that the target user is interested in can be recommended to the target user accurately based on the activity preference of the target user potential friend discovered by the invention, and the service quality of the EBSN recommendation system is improved; the invention also provides a user social activity statistical analysis function, the social activity statistical analysis result of a region can be shown in the form of a visual friendly interface and according to the region that the user selects, and information support with reference value is provided for other applications.

Description

technical field [0001] The invention belongs to the technical field of friend recommendation on social networking sites, and in particular relates to an activity recommendation system and method based on online and offline dual social relationships. Background technique [0002] With the development of the Internet and mobile positioning devices, a new type of social networking application has emerged - EBSN (Event based on Social Networks); with the help of this application platform, users can create, publish and organize social events, such as organizing academic Meetings, holding formal gatherings, raising disaster relief funds, distributing merchandise coupons, and more. Since EBSN includes not only online interactions of traditional social networks, but also valuable offline interactions, it makes it easy to integrate virtual and physical social interactions. At present, typical representatives of EBSN include: Meetup, Google+Events, Groupon and Douban. The following ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/00H04L12/58H04L29/08
CPCG06F16/9535G06Q50/01H04L51/52H04L67/55
Inventor 于亚新田宏增李晓旭张文超王磊续宗泽
Owner NORTHEASTERN UNIV
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