Learning user preferences on the WEB
We present a new tool called INDWEB, based on Inductive Logic Programming, that can learn some concepts that characterized interesting pages for a user or a group of users with respect to a set of criteria on these pages but also on these users or group of users.
KeywordsInductive Logic Programming WEB Information Retrieval
- 1.M. Balabanovic and Y. Shoham. Learning information retrieval agents: Experiments with automated web browsing. In AAAI Spring Symposium Series on Information Gathering from Distributed, Heterogeneous Environments, Working Notes, AAAI Press, 1995.Google Scholar
- 2.T. Joachims, D. Freitag, and T. Mitchell. Webwatcher: A tour guide for the world wide web. Technical report, Carnegie Mellon University, September 1996.Google Scholar
- 3.Y. Laskari. The webhound personalized document filtering system. http://www.media.mit.edu/projects/webhound/doc. 1994.Google Scholar
- 4.H. Lieberman. Letizia: An agent that assists web browsing. In Proceedings of the IJCAI'95, Montréal, August 1995.Google Scholar
- 7.M. Pazzani, J. Muramatsu, and D. Billsus. Syskill & webert: Identifying interesting web sites. In Proceedings of AAAI Conference, Portland, August 1996.Google Scholar