Grigoris J. Karakoulas and Innes A. Ferguson. Sigma: Integrating learning techniques in computational markets for information filtering. In AAAI 1996. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Market-Based Recommendations: Design, Simulation and.. - Wei, Moreau, Jennings (2003) (Correct)
....of users interests to the subscribed users. 13] demonstrates a learning approach to personalized information filtering using relevance feedback and genetic algorithms. SIGMA uses a marketplace to assist the filtering agents to learn the user s interests when they query Usenet news articles [6]. However, these systems tend to filter based on document content and in many cases in our Web browsing domain issues such as quality, style and other machine unparsable properties are the key to giving good recommendations [12] Thus, recommender systems [10] have been advocated. GroupLens [7] ....
Grigoris J. Karakoulas and Innes A. Ferguson. Sigma: Integrating learning techniques in computational markets for information filtering. In AAAI 1996.
Applying SIGMA to the TREC-7 Filtering Track - Grigoris Karakoulas Self-citation (Karakoulas Ferguson) (Correct)
No context found.
Karakoulas, G.; and Ferguson, I. 1996a. SIGMA: Integrating learning techniques in computational markets for information filtering. In Proceedings of AAAI 96 Spring Symposium on Machine Learning and Information Access, AAAI Press.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC