JOURNAL ARTICLE
Utilizing passage-based language models for ad hoc document retrieval
Year: 2009 Journal: Information Retrieval Vol: 13 (2)Pages: 157-187 Publisher: Springer Science+Business Media
Keywords:
Computer science Information retrieval Relevance (law) Document retrieval Ranking (information retrieval) Language model Divergence-from-randomness model Query expansion Document Structure Description Homogeneity (statistics) Vector space model Query language Relevance feedback Probabilistic logic Natural language processing Artificial intelligence XML Machine learning Image retrieval World Wide Web
Metrics
10
Cited By
1.14
FWCI (Field Weighted Citation Impact)
76
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Information Retrieval and Search Behavior
Physical Sciences → Computer Science → Information Systems
Recommender Systems and Techniques
Physical Sciences → Computer Science → Information Systems
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BOOK-CHAPTER
Utilizing Passage-Based Language Models for Document Retrieval
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JOURNAL ARTICLE
Utilizing passage-based language models for document retrieval
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