標題: Sequence-based trust in collaborative filtering for document recommendation
作者: Liu, Duen-Ren
Lai, Chin-Hui
Chiu, Hsuan
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: Collaborative filtering;Recommender system;Sequence-based trust;Document recommendation
公開日期: 1-八月-2011
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 interest to users. Recently, trust-based recommender systems have incorporated the trustworthiness of users into CF techniques to improve the quality of recommendation. They propose trust computation models to derive the trust values based on users' past ratings on items. A user is more trustworthy if s/he has contributed more accurate predictions than other users. Nevertheless, conventional trust-based CF methods do not address the issue of deriving the trust values based on users' various information needs on items over time. In knowledge-intensive environments, users usually have various information needs in accessing required documents over time, which forms a sequence of documents ordered according to their access time. We propose a sequence-based trust model to derive the trust values based on users' sequences of ratings on documents. The model considers two factors time factor and document similarity - in computing the trustworthiness of users. The proposed model enhanced with the similarity of user profiles is incorporated into a 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 in comparison with other trust-based recommender systems. (C) 2011 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.ijhcs.2011.06.001
http://hdl.handle.net/11536/20771
ISSN: 1071-5819
DOI: 10.1016/j.ijhcs.2011.06.001
期刊: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
Volume: 69
Issue: 9
起始頁: 587
結束頁: 601
顯示於類別:期刊論文


文件中的檔案:

  1. 000293484600004.pdf