Daniel Billsus

Publication Activity (10 Years)

Years Active: 1996-2011
Publications (10 Years): 0

Publications

Julia Kiseleva, Eugene Agichtein, Daniel Billsus
Mining query structure from click data: a case study of product queries. CIKM (2011)
Julia Kiseleva, Qi Guo, Eugene Agichtein, Daniel Billsus, Wei Chai
Unsupervised query segmentation using click data: preliminary results. WWW (2010)
Daniel Billsus, Michael J. Pazzani
Adaptive News Access. The Adaptive Web (2007)
Michael J. Pazzani, Daniel Billsus
Content-Based Recommendation Systems. The Adaptive Web (2007)
Daniel Billsus, David M. Hilbert, Dan Maynes-Aminzade
Improving proactive information systems. IUI (2005)
Jonathan Trevor, David M. Hilbert, Daniel Billsus, Jim Vaughan, Quan T. Tran
Contextual contact retrieval. IUI (2004)
Daniel Billsus, Clifford Brunk, Craig Evans, Brian Gladish, Michael J. Pazzani
Adaptive interfaces for ubiquitous web access. Commun. ACM 45 (5) (2002)
Michael J. Pazzani, Daniel Billsus
Adaptive Web Site Agents. Auton. Agents Multi Agent Syst. 5 (2) (2002)
Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus
Machine Learning for User Modeling. User Model. User Adapt. Interact. 11 (1-2) (2001)
Daniel Billsus, Michael J. Pazzani
User Modeling for Adaptive News Access. User Model. User Adapt. Interact. 10 (2-3) (2000)
Daniel Billsus, Michael J. Pazzani, James Chen
A learning agent for wireless news access. IUI (2000)
Daniel Billsus, Michael J. Pazzani
A Personal News Agent That Talks, Learns and Explains. Agents (1999)
Michael J. Pazzani, Daniel Billsus
Adaptive Web Site Agents. Agents (1999)
Daniel Billsus, Michael J. Pazzani
Learning Collaborative Information Filters. ICML (1998)
Michael J. Pazzani, Daniel Billsus
Learning and Revising User Profiles: The Identification of Interesting Web Sites. Mach. Learn. 27 (3) (1997)
Mark S. Ackerman, Daniel Billsus, Scott Gaffney, Seth Hettich, Gordon Khoo, Dong Joon Kim, Raymond Klefstad, Charles Lowe, Alexius Ludeman, Jack Muramatsu, Kazuo Omori, Michael J. Pazzani, Douglas Semler, Brian Starr, Paul Yap
Learning Probabilistic User Profiles: Applications for Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities. AI Mag. 18 (2) (1997)
Michael J. Pazzani, Jack Muramatsu, Daniel Billsus
Syskill & Webert: Identifying Interesting Web Sites. AAAI/IAAI, Vol. 1 (1996)