Recommender Service for Social Network based Applications

Authors:
Yung-Ming Li;Han-Wen Hsiao
Affiliations:
Institute of Information Management, National Chiao Tung University, Hsinchu 300, Taiwan;Institute of Information Management, National Chiao Tung University, Hsinchu 300, Taiwan
Venue:
Proceedings of the 11th International Conference on Electronic Commerce
Year:
2009

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Abstract

Social network based applications have grown dramatically in a tremendous amount such that requires a systematic approach to recommend suitable and attractive applications to the users in order to efficiently promote the visibility of application. In this paper, we propose a recommendation mechanism that 1) analyzes the social applications popularity and reputation by empirical study 2) calculates users preference based on data mining weighting methods 3) computes the applications social attraction power estimated from users social intimacy and interaction. Finally, a recommender system is implemented on one of the most famous social network websites- Facebook.