Daniel Billsus

	2007
15		Michael J. Pazzani, Daniel Billsus: Content-Based Recommendation Systems. The Adaptive Web 2007: 325-341
14		Daniel Billsus, Michael J. Pazzani: Adaptive News Access. The Adaptive Web 2007: 550-570
	2005
13		Daniel Billsus, David M. Hilbert, Dan Maynes-Aminzade: Improving proactive information systems. IUI 2005: 159-166
	2004
12		Jonathan Trevor, David M. Hilbert, Daniel Billsus, Jim Vaughan, Quan T. Tran: Contextual contact retrieval. IUI 2004: 337-339
	2002
11		Michael J. Pazzani, Daniel Billsus: Adaptive Web Site Agents. Autonomous Agents and Multi-Agent Systems 5(2): 205-218 (2002)
10		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
9		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
8		Daniel Billsus, Michael J. Pazzani, James Chen: A learning agent for wireless news access. IUI 2000: 33-36
7		Daniel Billsus, Michael J. Pazzani: User Modeling for Adaptive News Access. User Model. User-Adapt. Interact. 10(2-3): 147-180 (2000)
	1999
6		Daniel Billsus, Michael J. Pazzani: A Personal News Agent That Talks, Learns and Explains. Agents 1999: 268-275
5		Michael J. Pazzani, Daniel Billsus: Adaptive Web Site Agents. Agents 1999: 394-395
	1998
4		Daniel Billsus, Michael J. Pazzani: Learning Collaborative Information Filters. ICML 1998: 46-54
	1997
3		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)
2		Michael J. Pazzani, Daniel Billsus: Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning 27(3): 313-331 (1997)
	1996
1		Michael J. Pazzani, Jack Muramatsu, Daniel Billsus: Syskill & Webert: Identifying Interesting Web Sites. AAAI/IAAI, Vol. 1 1996: 54-61

Coauthor Index

1	Mark S. Ackerman	[3]
2	Clifford Brunk	[10]
3	James Chen	[8]
4	Craig Evans	[10]
5	Scott Gaffney	[3]
6	Brian Gladish	[10]
7	Seth Hettich	[3]
8	David M. Hilbert	[12] [13]
9	Gordon Khoo	[3]
10	Dong Joon Kim	[3]
11	Raymond Klefstad	[3]
12	Charles Lowe	[3]
13	Alexius Ludeman	[3]
14	Dan Maynes-Aminzade	[13]
15	Jack Muramatsu	[1] [3]
16	Kazuo Omori	[3]
17	Michael J. Pazzani	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [14] [15]
18	Douglas Semler	[3]
19	Brian Starr	[3]
20	Quan T. Tran	[12]
21	Jonathan Trevor	[12]
22	Jim Vaughan	[12]
23	Geoffrey I. Webb	[9]
24	Paul Yap	[3]

Colors in the list of coauthors