Daniel Billsus
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Web Data Mining and Analysis
- Artificial Intelligence top 1%
- Text and Document Classification Technologies
- Topic Modeling
Papers in
-
- Recommender Systems and Techniques 9
- Web Data Mining and Analysis 4
- Data Mining Algorithms and Applications 4
-
- Topic Modeling 3
- Machine Learning and Algorithms 3
- Co-authors
- Michael J. Pazzani (13 shared papers)Jack Muramatsu (2 shared papers)Geoffrey I. Webb (1 shared paper)Clifford Brunk (1 shared paper)David M. Hilbert (5 shared papers)James Chen (1 shared paper)Dan Maynes-Aminzade (1 shared paper)Laurent Denoue (3 shared papers)
- Journals
- User Modeling and User-Adapted Interaction (2 papers)Communications of the ACM (1 paper)AI Magazine (1 paper)Machine Learning (1 paper)Journal of the American Podiatric Medical Association (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Daniel Billsus
20 papers receiving 2.5k citations
Daniel Billsus's Hit Papers
Peers
Comparison fields: 5 of 101
- Information Systems 2.1k
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 780
- Signal Processing 377
- Computer Science Applications 151
Countries citing papers authored by Daniel Billsus
This map shows the geographic impact of Daniel Billsus's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Billsus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Billsus more than expected).
Fields of papers citing papers by Daniel Billsus
This network shows the impact of papers produced by Daniel Billsus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Billsus. The network helps show where Daniel Billsus may publish in the future.
Co-authors
The 20 scholars most cited alongside Daniel Billsus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Learning and Revising User Profiles: The Identification of Interesting Web Sites Hit paper breakdown → | 1997 | 758 |
| 2 | Learning Collaborative Information Filters Hit paper breakdown → | 1998 | 656 |
| 3 | Syskill & webert: Identifying interesting web sites | 1996 | 384 |
| 4 | 2000 | 303 | |
| 5 | 2001 | 221 | |
| 6 | 2002 | 158 | |
| 7 | 1999 | 139 | |
| 8 | 2000 | 62 | |
| 9 | 2005 | 42 | |
| 10 | 2002 | 31 | |
| 11 | 1997 | 22 | |
| 12 | 1998 | 21 | |
| 13 | 1999 | 12 | |
| 14 | Revising User Profiles: The Search for Interesting Web Sites | 1996 | 12 |
| 15 | ProjectorBox: Seamless presentation capture for classrooms | 2005 | 10 |
| 16 | Seamless Capture and Discovery for Corporate Memory | 2006 | 8 |
| 17 | 2004 | 6 | |
| 18 | Evaluating Adaptive Web Site Agents | 1999 | 4 |
| 19 | 2005 | 4 | |
| 20 | 2010 | 3 |
About Daniel Billsus
Daniel Billsus is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Information Systems and Management and Signal Processing, having authored 20 papers that have together received 2.9k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Web Data Mining and Analysis (4 papers), Data Mining Algorithms and Applications (4 papers), Topic Modeling (3 papers), Data Management and Algorithms (3 papers), Machine Learning and Algorithms (3 papers), Peer-to-Peer Network Technologies (3 papers) and Personal Information Management and User Behavior (3 papers). The work is most often cited by research in Information Systems (2.1k citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (780 citations), Signal Processing (377 citations) and Computer Science Applications (151 citations). Daniel Billsus has collaborated with scholars based in United States and Australia. Frequent co-authors include Michael J. Pazzani, Jack Muramatsu, Geoffrey I. Webb, Clifford Brunk, David M. Hilbert, James Chen, Dan Maynes-Aminzade, Laurent Denoue, John Adcock and Matthew Cooper. Their work appears in journals such as User Modeling and User-Adapted Interaction, Communications of the ACM, AI Magazine, Machine Learning and Journal of the American Podiatric Medical Association.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.