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Daniel Billsus

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2010 – today

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2011
[c11]
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Julia Kiseleva, Eugene Agichtein, Daniel Billsus:
Mining query structure from click data: a case study of product queries. CIKM 2011: 2217-2220
2010
[c10]
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Julia Kiseleva, Qi Guo, Eugene Agichtein, Daniel Billsus, Wei Chai:
Unsupervised query segmentation using click data: preliminary results. WWW 2010: 1131-1132

2000 – 2009

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2007
[c9]
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Michael J. Pazzani, Daniel Billsus:
Content-Based Recommendation Systems. The Adaptive Web 2007: 325-341
[c8]
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Daniel Billsus, Michael J. Pazzani:
Adaptive News Access. The Adaptive Web 2007: 550-570
2005
[c7]
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Daniel Billsus, David M. Hilbert, Dan Maynes-Aminzade:
Improving proactive information systems. IUI 2005: 159-166
2004
[c6]
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Jonathan Trevor, David M. Hilbert, Daniel Billsus, Jim Vaughan, Quan T. Tran:
Contextual contact retrieval. IUI 2004: 337-339
2002
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Michael J. Pazzani, Daniel Billsus:
Adaptive Web Site Agents. Autonomous Agents and Multi-Agent Systems 5(2): 205-218 (2002)
[j5]
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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]
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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]
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Daniel Billsus, Michael J. Pazzani:
User Modeling for Adaptive News Access. User Model. User-Adapt. Interact. 10(2-3): 147-180 (2000)
[c5]
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Daniel Billsus, Michael J. Pazzani, James Chen:
A learning agent for wireless news access. IUI 2000: 33-36

1990 – 1999

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1999
[c4]
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Daniel Billsus, Michael J. Pazzani:
A Personal News Agent That Talks, Learns and Explains. Agents 1999: 268-275
[c3]
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Michael J. Pazzani, Daniel Billsus:
Adaptive Web Site Agents. Agents 1999: 394-395
1998
[c2]
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Daniel Billsus, Michael J. Pazzani:
Learning Collaborative Information Filters. ICML 1998: 46-54
1997
[j2]
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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 Magazine 18(2): 47-56 (1997)
[j1]
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Michael J. Pazzani, Daniel Billsus:
Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning 27(3): 313-331 (1997)
1996
[c1]
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Michael J. Pazzani, Jack Muramatsu, Daniel Billsus:
Syskill & Webert: Identifying Interesting Web Sites. AAAI/IAAI, Vol. 1 1996: 54-61

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