Activity similarity and social trust based social networking website friend recommendation system and method

Abstract

The invention discloses an activity similarity and social trust based social networking website friend recommendation system and method and belongs to the field of information recommendation and data mining. According to the activity similarity and social trust based social networking website friend recommendation method, position-based friend recommendation in the social networking website is achieved mainly according to user social contact trust values and activity preference similarities; friends with preferences similar to users can be discovered through the activity preference between the users due to the fact that user interest preferences can be showed in the activities; friend recommendation according to trust relationships is more reasonable in interpretability. Experiments show that, a recommendation effect of the activity similarity and social trust based social networking website friend recommendation method is superior to the existing friend recommendation method in accuracy and reasonable interpretability and high in practical application values, the activity similarity and social trust based social networking website friend recommendation method has great importance in guidance and decision making for enterprises and public institutions to confirm client aims, improve the advertising service relevancy and accuracy and improve the advertising values.

Description

technical field [0001] The invention belongs to the field of information recommendation and data mining, and in particular relates to a social network friend recommendation system and method based on activity similarity and social trust. Background technique [0002] With the increasing prosperity and development of social networks, almost the whole world has been covered by social networks, among which location-based social network services LBSNs (Location-based Social Networks) are the most attractive. LBSNs can strengthen the correlation between social network and geographical location by recording when and where users have taken place, so as to provide various marketing decision-making services for enterprises. [0003] Friend recommendation is one of the many services of LBSNs, and it is also one of the current research hotspots in academia and industry. However, according to relevant information, so far, most of the friend recommendation methods in LBSNs are based on l...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of false recommendations and unconsidered user behavior preferences in current friend recommendation methods, the present invention proposes a social network friend recommendation system and method based on activity similarity and social trust, referred to as FRBTA (Friend Recommendation Based on Trust and Activity) method, with To achieve the purpose of improving practical value, clarifying the scope of target customers, improving the relevance and accuracy of advertising services, and increasing the value of advertising and marketing

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