Learning Probabilistic User Profiles: Applications to Finding Interesting Web Sites Notifying Users of Relevant Changes to Web Pages and Locating Grant Opportunities
| Author(s) : | M. Pazzani K. Omori J. Muramatsu A. Ludeman R. Klefstad D. Kim G. Khoo S. Hettich S. Gaffney D. Billsus M. Ackerman D. Semler B. Starr P. Yap, |
| Publisher : | N/A |
| Publication Date : | 1997 |
| ISSN : | N/A |
| Abstract : | The World Wide Web contains a vast amount of information potentially relevant to a user?s goals or interests. We describe three agents that help a user locate useful or interesting information. The agents share a common core approach to learning a probabilistic profile from a user?s feedback. This profile is then used to find, classify, or, |