[ACM Press the fifth international joint conference - Hakodate, Japan (2006.05.08-2006.05.12)] Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems - AAMAS '06 - Trust-based agent community for collaborative recommendation

✍ Scribed by Weng, Jianshu; Miao, Chunyan; Goh, Angela; Shen, Zhiqi; Gay, Robert

• Book ID: 127149793
• Publisher: ACM Press
• Year: 2006
• Tongue: un
• Weight: 221 KB
• Category: Article
• ISBN-13: 9781595933034
• DOI: 10.1145/1160633.1160860

✦ Synopsis

There exist a number of similarity-based recommendation communities, within which similar users' opinions are collected by users' agents to make predictions of their opinions on a new item. Similarity-based recommendation communities suffer from some significant limitations, such as scalability and susceptibility to the noise. In this paper, we propose a trust-based community to overcome these limitations. The trust-based recommendation community incorporates trust into the domain of item recommendation. Experimental results based on a real dataset show that trust-based community manages to outperform its similarity-based counterpart in terms of prediction accuracy, coverage, and robustness in the presence of noise.