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Okapi BM25
Known as:
Okapi (disambiguation)
, Probabilistic relevance model (BM25)
In information retrieval, Okapi BM25 (BM stands for Best Matching) is a ranking function used by search engines to rank matching documents according…
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Related topics
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5 relations
Information
Information retrieval
Learning to rank
Ranking (information retrieval)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
TUW @ TREC Clinical Decision Support Track 2015
João Palotti
,
A. Hanbury
Text Retrieval Conference
2015
Corpus ID: 1422808
Abstract : In this document, we describe the participation of Vienna University of Technology (TUW in German) in both tasks A and…
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2014
2014
Document clustering algorithms, representations and evaluation for information retrieval
D. Vries
,
M. Christopher
2014
Corpus ID: 43886121
This thesis presents new methods for classification and thematic grouping of billions of web pages, at scales previously not…
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2010
2010
On a Combination of Probabilistic and Boolean IR Models for GeoTime Task
Masaharu Yoshioka
NTCIR Conference on Evaluation of Information…
2010
Corpus ID: 6649202
2008
2008
Multi-word term indexing for Arabic document retrieval
S. Boulaknadel
,
B. Daille
,
D. Aboutajdine
IEEE Symposium on Computers and Communications
2008
Corpus ID: 9650844
To improve information retrieval system performances, it seems important to identify key phrases which constitute a better…
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2008
2008
Term Impacts as Normalized Term Frequencies for BM25 Similarity Scoring
V. Anh
,
R. Wan
,
Alistair Moffat
SPIRE
2008
Corpus ID: 41771762
The BM25 similarity computation has been shown to provide effective document retrieval. In operational terms, the formulae which…
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2006
2006
Beyond Term Indexing: A P2P Framework for Web Information Retrieval
Ivana Podnar Žarko
,
M. Rajman
,
Toan Luu
,
Fabius Klemm
,
K. Aberer
Informatica
2006
Corpus ID: 11560779
Web search over peer-to-peer (P2P) networks shows promise to become an alternative to the state-of-the-art search engines since…
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2006
2006
Ricoh Research at TREC 2006: Enterprise Track
Ganmei You
,
Yaojie Lu
,
Gang Li
,
Yueyan Yin
Text Retrieval Conference
2006
Corpus ID: 10170634
1. Abstract This article presents our contributions to expert s earch and discussion search of Enterprise Track in TREC 2006. In…
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Highly Cited
2005
Highly Cited
2005
Choosing document structure weights
A. Trotman
Information Processing & Management
2005
Corpus ID: 8948234
2005
2005
Okapi-Chamfer matching for articulate object recognition
Hanning Zhou
,
Thomas S. Huang
Tenth IEEE International Conference on Computer…
2005
Corpus ID: 6472572
Recent years have witnessed the rise of many effective text information retrieval systems. By treating local visual features as…
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2004
2004
Browsing Search Results via Formal Concept Analysis: Automatic Selection of Attributes
Juan M. Cigarrán
,
Julio Gonzalo
,
Anselmo Peñas
,
M. Verdejo
International Conference on Formal Concept…
2004
Corpus ID: 18606386
This paper presents the JBraindead Information Retrieval System, which combines a free-text search engine with online Formal…
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