所属领域：
印太交汇区海洋物质能量中心形成演化过程与机制
资源类型：
人工智能与海洋大数据
/ 海洋大数据
文献作者：
Chang, Chin-Chih; Chu, Kuo-Hua
文献发表年份：
2013
文献期刊：
2013 FIFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE, COMMUNICATION SYSTEMS AND NETWORKS (CICSYN)
文献摘要：The fast development of Web technologies has introduced a world of big data. How efficiently and effectively to retrieve the information from the ocean of data that the users really want is an important topic. Recommendation systems have become a popular approach to personalized information retrieval. On the other hand, social media have quickly entered into your life. The information from social networks can be an effective indicator for recommender systems. In this paper we present a recommendation mechanism which calculates similarity among users and users' trustability and analyzes information collected from social networks. To validate our method an information system for tourist attractions built on this recommender system has been presented. We further evaluate our system by experiments. The results show our method is feasible and effective.
文献类型： Proceedings Paper
文献语种： English
关键词： personalization; social networks; recommender system; collaborative filtering
文献作者地址： [Chang, Chin-Chih; Chu, Kuo-Hua] Chung Hua Univ, Dept Comp Sci & Informat Engn, Hsinchu, Taiwan
