Comparing and evaluating information retrieval algorithms for news recommendation
Proceedings of the 2007 ACM conference on Recommender systems
Using Evolving Agents to Critique Subjective Music Compositions
Computational Intelligence and Security
User comments for news recommendation in social media
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Recommendation in Internet forums and blogs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
User comments for news recommendation in forum-based social media
Information Sciences: an International Journal
Evaluating subjective compositions by the cooperation between human and adaptive agents
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
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This article presents an intelligent news recommender agent (INRA), which can be used to filter news articles as well as to recommend relevant news for individual user automatically. Three specific objectives underlie the presentation of the intelligent news recommender agent in this study. The first is to describe the basic architecture of this approach, and the second is to show the design of the fuzzy hierarchical mixture of the expert model for text categorization. The third and more elaborate goal is to show that the proposed system is able to perform a news-recommending process. We show this approach with standard benchmark examples of the Reuters-21578 in order to verify the effectiveness of news recommending. © 2004 Wiley Periodicals, Inc.