RSOL: A trust-based recommender system with an opinion leadership measurement for cold start users

Jiun Yuan Wang, Hung-Yu Kao

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Proceedings
頁面500-512
頁數13
DOIs
出版狀態Published - 2013 12月 1
事件9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013 - Singapore, Singapore
持續時間: 2013 12月 92013 12月 11

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8281 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other9th Asia Information Retrieval Societies Conference on Information Retrieval Technology, AIRS 2013
國家/地區Singapore
城市Singapore
期間13-12-0913-12-11

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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