Intelligent multimedia recommender by integrating annotation and association mining

S. Tseng, Ja Hwung Su, Bo Wen Wang, Chin Yuan Hsiao, Jay Huang, Hsin Ho Yeh

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

Making a decision among a set of items from compound and complex information has been becoming a difficult task for common users. Collaborative filtering has been the mainstay of automatically personalized search employed in contemporary recommender systems. Until now, it is still a challenging issue to reduce the gap between user perception and multimedia contents. To bridge user's interests and multimedia items, in this paper, we present an intelligent multimedia recommender system by integrating annotation and association mining techniques. In our proposed system, low-level multimedia contents are conceptualized to support rule-based collaborative filtering recommendation by automated annotation. From the discovered relations between user contents and conceptualized multimedia contents, the proposed recommender system can provide a suitable recommendation list to assist users in making a decision among a massive amount of items.

原文English
主出版物標題2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008
頁面492-499
頁數8
DOIs
出版狀態Published - 2008
事件2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008 - Taichung, Taiwan
持續時間: 11 6月 200813 6月 2008

出版系列

名字Proceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing

Conference

Conference2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008
國家/地區Taiwan
城市Taichung
期間11/06/0813/06/08

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