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Authors: Chin-Hui Lai 1 ; Duen-Ren Liu 2 and Cai-Sin Lin 2

Affiliations: 1 Chung Yuan Christian University, Taiwan ; 2 National Chiao Tung University, Taiwan

ISBN: 978-989-8565-18-1

Keyword(s): Collaborative Filtering, Document Recommendation, Group Trust, Role Relationship, Personal Trust, Trust-based Recommender System.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Retrieval ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Software Engineering ; Web Information Systems and Technologies

Abstract: Collaborative filtering (CF) recommender systems have been used in various application domains to solve the information-overload problem. Recently, trust-based recommender systems have incorporated the trustworthiness of users into CF techniques to improve the quality of recommendation. Some researchers have proposed rating-based trust models to derive the trust values based on users’ past ratings of items, or based on explicitly specified relations (e.g. friends) or trust relationships. The rating-based trust model may not be effective in CF recommendations, due to unreliable trust values derived from very few past rating records. In this work, we propose a hybrid personal trust model which adaptively combines the rating-based trust model and explicit trust metric to resolve the drawback caused by insufficient past rating records. Moreover, users with similar preferences usually form a group to share items (knowledge) with each other, and thus users’ preferences may be affected by gr oup members. Accordingly, group trust can enhance personal trust to support recommendation from the group perspective. Eventually, we propose a recommendation method based on a hybrid model of personal and group trust to improve recommendation performance. The experiment result shows that the proposed models can improve the prediction accuracy of other trust-based recommender systems. (More)

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Paper citation in several formats:
Lai, C.; Liu, D. and Lin, C. (2012). Applying Personal and Group-based Trust Models in Document Recommendation.In Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-18-1, pages 29-38. DOI: 10.5220/0004039300290038

@conference{data12,
author={Chin{-}Hui Lai. and Duen{-}Ren Liu. and Cai{-}Sin Lin.},
title={Applying Personal and Group-based Trust Models in Document Recommendation},
booktitle={Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2012},
pages={29-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004039300290038},
isbn={978-989-8565-18-1},
}

TY - CONF

JO - Proceedings of the International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Applying Personal and Group-based Trust Models in Document Recommendation
SN - 978-989-8565-18-1
AU - Lai, C.
AU - Liu, D.
AU - Lin, C.
PY - 2012
SP - 29
EP - 38
DO - 10.5220/0004039300290038

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