標題: Sequence-Based Trust for Document Recommendation
作者: Chiu, Hsuan
Liu, Duen-Ren
Lai, Chin-Hui
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Sequence-based Trust;Collaborative Filtering;Recommender System
公開日期: 2009
摘要: Collaborative Filtering (CF) recommender systems have emerged in various applications to Support item recommendation, which solve the information-overload problem by suggesting items of interests to users. Recently, trust-based recommender systems have incorporated the trustworthiness of users into the CF techniques to improve the quality of recommendation. They propose trust computation models to derive the trust value based on users' past ratings on items. A user is more trustworthy if he has contributed more accurate predictions than other users. Nevertheless, none of them derive the trust value based on a sequence of user's ratings on items. We propose a sequence-based trust model to derive the trust Value based on users' sequences of ratings on documents. In knowledge-intensive environments, users normally have various information needs to access required documents over time, which forms a sequence of documents ordered according to their access time. The model considers two factors time factor and document similarity in computing the trustworthiness Of users. The proposed model is incorporated into standard collaborative filtering method to discover trustworthy neighbors for making predictions. The experiment result shows that the proposed model can improve the prediction accuracy of CF method comparing to other trust-based recommender systems.
URI: http://hdl.handle.net/11536/15751
ISBN: 978-3-642-03963-8
ISSN: 0302-9743
期刊: E-COMMERCE AND WEB TECHNOLOGIES, PROCEEDINGS
Volume: 5692
起始頁: 240
結束頁: 251
Appears in Collections:Conferences Paper