Collection Language Models is a probabilistic framework in information retrieval that represents the entire document collection as a single language model, distinguished by its use of global term statistics to estimate the probability of relevance for queries in the absence of specific document evidence.
9
Publications
1.2K
Citations
18
Authors
8
Institutions
Publications per year
2017–2026
0
Parents
Publications
9
Steve Cronen-Townsend, Yun Zhou, W. Bruce Croft · 2002 · 669 citations
Two-stage language models for information retrieval
ChengXiang Zhai, John Lafferty · 2002 · 193 citations
Steve Cronen-Townsend, W. Bruce Croft · 2002 · 111 citations · Full text
Aixin Sun, Sourav S. Bhowmick · 2009 · 40 citations
1–5 of 9
Authors
18
- SCSteve Cronen-Townsend
University of Massachusetts Amherst, United States
3 publications · 873 citations
3
h-index
- CZ
2
h-index
- WB
2
h-index
- GM
1
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- FF
1
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1–5 of 18
Institutions
8
University of Massachusetts Amherst
Amherst Center, United States
3 h-index
8 publications
2.5K citations
Peking University
Beijing, China
1 h-index
4 publications
40 citations
University of Virginia
Charlottesville, United States
1 h-index
3 publications
78 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
18 citations
Philadelphia University
Philadelphia, United States
1 h-index
1 publications
18 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
386 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
42 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
80 citations
1–8 of 8
Venues
- Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '02
Conference · 1 publications · 93 citations
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