Landscape recommendation system using public preference mining and social influence analysis

Wen Hao Tsai, Yan Ting Lin, Kuan Rung Lee, Yau-Hwang Kuo, Bing Huei Lu

研究成果: Conference contribution

摘要

A novel landscape recommendation system which employs public preference and social influence to classify user preference orientation is proposed in this paper. Unlike traditional content-based or collaborative filtering recommendation approaches, we collected large scale information from heterogeneous data sources to construct the public preference model for user's feature-based preference orientation classification. Moreover, the social relation graph of target user is constructed to analyze social influence of preference between users in it. Then, the social influence of preference is calculated by social influence and interest similarity between users. The purpose of this paper is that using public preference to infer user preference and further adjusting user preference through social influence of preference from neighbors. The proposed method deals with the cold-start issue in recommendation system. There two main advantages of the proposed method are social relationship can be easily obtained from online social network and any type of recommendation system can be applied in the proposed method. In our experiment, Facebook, the most famous social media, is the platform selected for social relationship analysis. The experimental result shows our approach not only innovation but also practicable.

原文English
主出版物標題Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
編輯William Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
發行者IOS Press
頁面583-592
頁數10
ISBN(電子)9781614994831
DOIs
出版狀態Published - 2015 一月 1
事件International Computer Symposium, ICS 2014 - Taichung, Taiwan
持續時間: 2014 十二月 122014 十二月 14

出版系列

名字Frontiers in Artificial Intelligence and Applications
274
ISSN(列印)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
國家/地區Taiwan
城市Taichung
期間14-12-1214-12-14

All Science Journal Classification (ASJC) codes

  • 人工智慧

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