Query expansion

Results: 818



#Item
561Statistics / Relevance feedback / Recommender system / Tf*idf / Language model / Document classification / Query expansion / Maximum likelihood / Speech recognition / Information science / Science / Information retrieval

The Bias Problem and Language Models in Adaptive Filtering Yi Zhang Jamie Callan

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Source URL: trec.nist.gov

Language: English - Date: 2002-02-12 09:50:34
562Query expansion / Precision and recall / Relevance / WordNet / F1 score / Information science / Information retrieval / Science

Expansion-Based Technologies in Finding Relevant and New Information: THU TREC2002 Novelty Track Experiments* Min Zhang, Ruihua Song, Chuan Lin, Shaoping Ma, Zhe Jiang, Yijiang Jin, Yiqun Liu, Le Zhao State Key Lab of In

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Source URL: trec.nist.gov

Language: English - Date: 2003-02-13 12:01:47
563Query expansion / Web search engine / Semantic search / Information science / Information retrieval / Concept Search

Columbia University TRECVID-2006 Video Search and High-Level Feature Extraction Shih-Fu Chang, Winston Hsu, Wei Jiang, Lyndon Kennedy, Dong Xu, Akira Yanagawa, and Eric Zavesky Digital Video and Multimedia Lab Department

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-03-13 13:55:14
564Relevance feedback / Vector space model / Query expansion / Search engine indexing / Relevance / Document retrieval / Precision and recall / Okapi BM25 / Ranking function / Information science / Information retrieval / Tf*idf

York University at TRECVID[removed]Jun Miao1 , Xiangji Huang1 , Qinmin Hu1 Information Retrieval and Knowledge Managment Lab, York University, Toronto, Canada [removed], [removed], [removed]

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2011-03-04 14:18:54
565Relevance feedback / Query expansion / Relevance / Tf*idf / Precision and recall / Search engine indexing / Discounted cumulative gain / Enterprise search / Text Retrieval Conference / Information science / Information retrieval / Science

University of Glasgow at TREC 2009: Experiments with Terrier Blog, Entity, Million Query, Relevance Feedback, and Web tracks Richard McCreadie, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L.T. Santos Department of Com

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 08:00:28
566Relevance feedback / Web search query / Relevance / IR evaluation / Precision and recall / MORE / Query expansion / Discounted cumulative gain / Text Retrieval Conference / Information science / Information retrieval / Science

TREC 2013 Web Track Overview Kevyn Collins-Thompson University of Michigan Paul Bennett, Fernando Diaz Microsoft Research

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
567Text Retrieval Conference / Relevance feedback / Twitter / Query expansion / Query likelihood model / Relevance / Information science / Information retrieval / Science

QU at TREC-2013: Expansion Experiments for Microblog Ad hoc Search Maram Hasanain, Latifa Al-Marri, and Tamer Elsayed Computer Science and Engineering Department Qatar University Doha, Qatar

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
568Relevance feedback / Query expansion / Language model / Precision and recall / Tf*idf / Relevance / Data model / Search engine indexing / Information science / Information retrieval / Science

UMass at TREC 2013 Knowledge Base Acceleration Track: Bi-directional Entity Linking and Time-aware Evaluation Laura Dietz University of Massachusetts, Amherst [removed]

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
569Lemur Project / Tf*idf / Query expansion / Cluster analysis / Document retrieval / Search engine / Relevance / Automatic summarization / Book:Information retrieval / Information science / Information retrieval / Science

Microsoft Word - BJUT_at_TREC_2013_Temporal_Summarization_Track-FINAL_11-10_FINAL

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:25
570Semantic similarity / Search engine indexing / Search engine / Vector space model / Latent semantic indexing / Information science / Information retrieval / Query expansion

Evaluating the Effectiveness of Axiomatic Approaches in Web Track Peilin Yang Hui Fang

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
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