A multi-factor decision-making method for event social network user participation event recommendation

A technology for social networking and participating in activities, which is applied in the multi-factor decision-making field of event social network users participating in activities recommendation, and can solve the problems of inaccurate modeling of social networking events, insufficient analysis and utilization of features of active social networks, and inaccurate modeling.

Active Publication Date: 2022-05-31
JIANGSU OCEAN UNIV
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

Its modeling between users of EBSNs, between users and activities, between activities and organizers is not accurate enough, and it does not consider the influence of time elements on activity recommendation
[0007] The inventors found that in the prior art, the modeling of the social network is not accurate enough, and the feature analysis and utilization of the social network of the social network is not comprehensive enough in recommending activities for users of the social network

Method used

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  • A multi-factor decision-making method for event social network user participation event recommendation
  • A multi-factor decision-making method for event social network user participation event recommendation
  • A multi-factor decision-making method for event social network user participation event recommendation

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Embodiment Construction

[0039] The implementation process of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0044]

[0047]

[0050]

[0053]

[0055] It should be noted that, in turn, the weight of user v to user u is different, because v and u may have different

[0056] In step 206, the ESU graph is a directed graph, and the importance of the three types of entities is embodied in different ways. organizer s

[0058] S

[0059] U

[0060]E

[0068]

[0071] The event location refers to the real location where the event is held offline. Unlike traditional social media, offline activities are

[0073]

[0076] People's participation in activities is limited by the influence of time factors, generally manifested in the periodicity of days and weeks. For example, get used to

[0077] The user has participated in the activity e

[0078]

[0080]

[0091] Use F1-measure=(2×P×R) / (P+R) as the evaluation index, where P...

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Abstract

The present invention is a multi-factor decision-making method for activity social network users to participate in activity recommendation. The steps are as follows: construct an activity-sponsor-user ESU graph model for the activity social network EBSN, and calculate the social influence generated by the activity on the user in the graph; Calculate the correlation between the activity and the activity content that the user has participated in; calculate the correlation between the activity and the activity location that the user has participated in; calculate the time correlation between the activity and the activity that the user has participated in; on the basis of the above four factors, use the classic J48 decision tree An algorithm decides whether a user will attend an event. The method of the present invention proposes to use activities and multiple factors of user's social influence, content correlation, location correlation and time correlation to predict whether a user will participate in an activity, reasonably utilizes the characteristics of the activity social network EBSN, and is suitable for the activity social network Event recommendation from EBSN.

Description

A multi-factor decision-making method for activity recommendation for social network users to participate in activities technical field The present invention relates to a kind of information mining technology, specifically, relate to a kind of activity social network user participates in activity Recommended multifactor decision-making method. Background technique [0002] In recent years, Event-based Social Networks (EBSNs for short) The attention of researchers is mainly because it provides a platform for users to organize, participate in and share social activities through online means, And users can also participate in real offline events, such as Meetup, Plancast, Facebook Event and Douban same city ​​and so on. With so many events on EBSNs at different times and locations, it takes a lot of time for users to find to activities that interest you. On EBSNs, activities can be automatically and accurately recommended to users, thereby allowing users to enrich the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06Q50/00
CPCG06Q50/01G06F18/2323
Inventor 仲兆满管燕
Owner JIANGSU OCEAN UNIV
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