TY - GEN
T1 - RSOL
T2 - 9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
AU - Wang, Jiun Yuan
AU - Kao, Hung-Yu
PY - 2013/12/1
Y1 - 2013/12/1
N2 - The cold start problem is a potential issue in computer-based information systems that involve a degree of automated data modeling. Specifically, the system cannot infer a rating for users or items that are new to the recommender system when no sufficient information has been gathered. Currently, more websites are providing the relationships between users, e.g., the trust relationships, to help us alleviate the cold start problem. In this paper, we proposed a trust-based recommender model (RSOL) that is able to recognize the user's recommendation quality for different items. A user's recommendation quality contains two parts: "Rating Confidence" - an indicator of the user's reliability when rating an item, and "Proximity Prestige" - an indicator of the user's influence on a trust network. In our experimental results, the proposed method outperforms the Collaborative Filtering and trust-based methods on the Epinions dataset.
AB - The cold start problem is a potential issue in computer-based information systems that involve a degree of automated data modeling. Specifically, the system cannot infer a rating for users or items that are new to the recommender system when no sufficient information has been gathered. Currently, more websites are providing the relationships between users, e.g., the trust relationships, to help us alleviate the cold start problem. In this paper, we proposed a trust-based recommender model (RSOL) that is able to recognize the user's recommendation quality for different items. A user's recommendation quality contains two parts: "Rating Confidence" - an indicator of the user's reliability when rating an item, and "Proximity Prestige" - an indicator of the user's influence on a trust network. In our experimental results, the proposed method outperforms the Collaborative Filtering and trust-based methods on the Epinions dataset.
UR - http://www.scopus.com/inward/record.url?scp=84893241422&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893241422&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-45068-6_43
DO - 10.1007/978-3-642-45068-6_43
M3 - Conference contribution
AN - SCOPUS:84893241422
SN - 9783642450679
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 500
EP - 512
BT - Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
Y2 - 9 December 2013 through 11 December 2013
ER -