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2010 – 2019
- 2011
[c11]Julia Kiseleva, Eugene Agichtein, Daniel Billsus:
Mining query structure from click data: a case study of product queries. CIKM 2011: 2217-2220- 2010
- [c10]Julia Kiseleva, Qi Guo, Eugene Agichtein, Daniel Billsus, Wei Chai:
Unsupervised query segmentation using click data: preliminary results. WWW 2010: 1131-1132
2000 – 2009
- 2007
- [c9]Michael J. Pazzani, Daniel Billsus:
Content-Based Recommendation Systems. The Adaptive Web 2007: 325-341 - [c8]Daniel Billsus, Michael J. Pazzani:
Adaptive News Access. The Adaptive Web 2007: 550-570 - 2005
- [c7]Daniel Billsus, David M. Hilbert, Dan Maynes-Aminzade:
Improving proactive information systems. IUI 2005: 159-166 - 2004
- [c6]Jonathan Trevor, David M. Hilbert, Daniel Billsus, Jim Vaughan, Quan T. Tran:
Contextual contact retrieval. IUI 2004: 337-339 - 2002
- [j6]Michael J. Pazzani, Daniel Billsus:
Adaptive Web Site Agents. Auton. Agents Multi Agent Syst. 5(2): 205-218 (2002) - [j5]Daniel Billsus, Clifford Brunk, Craig Evans, Brian Gladish, Michael J. Pazzani:
Adaptive interfaces for ubiquitous web access. Commun. ACM 45(5): 34-38 (2002) - 2001
- [j4]Geoffrey I. Webb
, Michael J. Pazzani, Daniel Billsus:
Machine Learning for User Modeling. User Model. User Adapt. Interact. 11(1-2): 19-29 (2001) - 2000
- [j3]Daniel Billsus, Michael J. Pazzani:
User Modeling for Adaptive News Access. User Model. User Adapt. Interact. 10(2-3): 147-180 (2000) - [c5]Daniel Billsus, Michael J. Pazzani, James Chen:
A learning agent for wireless news access. IUI 2000: 33-36
1990 – 1999
- 1999
- [c4]Daniel Billsus, Michael J. Pazzani:
A Personal News Agent That Talks, Learns and Explains. Agents 1999: 268-275 - [c3]Michael J. Pazzani, Daniel Billsus:
Adaptive Web Site Agents. Agents 1999: 394-395 - 1998
- [c2]Daniel Billsus, Michael J. Pazzani:
Learning Collaborative Information Filters. ICML 1998: 46-54 - 1997
- [j2]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): 47-56 (1997) - [j1]Michael J. Pazzani, Daniel Billsus:
Learning and Revising User Profiles: The Identification of Interesting Web Sites. Mach. Learn. 27(3): 313-331 (1997) - 1996
- [c1]Michael J. Pazzani, Jack Muramatsu, Daniel Billsus:
Syskill & Webert: Identifying Interesting Web Sites. AAAI/IAAI, Vol. 1 1996: 54-61
Coauthor Index
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