IDF

Results: 1826



#Item
881Web query classification / Relevance feedback / WordNet / Tf*idf / Hyponymy / Full text search / Search engine indexing / Relevance / Information science / Information retrieval / Query expansion

Cengage Learning at TREC 2010 Session Track Benjamin King Ivan Provalov University of Michigan

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:22
882Tf*idf / Random forest / Precision and recall / Boris Berezovsky / Search engine indexing / Classifier / Relevance / Information science / Information retrieval / Science

LSIS/LIA at TREC 2012 Knowledge Base Acceleration Ludovic Bonnefoy LIA - University of Avignon [removed]

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:19
883Relevance feedback / Learning to rank / Vector space model / Text Retrieval Conference / Tf*idf / Ranking SVM / Twitter / Relevance / Ranking function / Information science / Information retrieval / Science

PKUICST at TREC 2012 Microblog Track Feng Liang Runwei Qiang Yihong Hong Yue Fei Jianwu Yang {liangfeng,qiangrw,hongyihong,feiyue,yangjw}@pku.edu.cn ∗

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:20
884Query expansion / Text Retrieval Conference / Tf*idf / Twitter / Lemur Project / Query / Microblogging / Information science / Information retrieval / Science

Concept Detection and Using Concept in Ad-hoc of Microblog Search Hao Wu and Hui Fang University of Delaware, Newark DE 19716, USA [removed], [removed] Abstract:

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:21
885Relevance / Semantic similarity / Unified Medical Language System / Query expansion / Text Retrieval Conference / Tf*idf / Subject / Document retrieval / Precision and recall / Information science / Information retrieval / Science

LSIS at TREC 2012 Medical Track – Experiments with conceptualization, a DFR model and a semantic measure Hussam Hamdan, Shereen Albitar, Patrice Bellot, Bernard Espinasse, Sébastien Fournier {firstname.lastname}@lsis.

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:19
886Text Retrieval Conference / Relevance / Tf*idf / Document retrieval / Language model / Query expansion / Search engine indexing / Information science / Information retrieval / Science

Exploring Evidence Aggregation Methods and External Expansion Sources for Medical Record Search Dongqing Zhu and Ben Carterette Dept. of Computer & Information Sciences University of Delaware, Newark, DE USA

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:21
887Text Retrieval Conference / Named-entity recognition / Search engine indexing / Precision and recall / Tf*idf / Relevance / Lemur Project / Information science / Information retrieval / Science

PRIS at TREC 2010: Related Entity Finding Task of Entity Track Zhanyi Wang, Chunsong Tang, Xueji Sun, Haoyi Ouyang, Ru Lan, Weiran Xu, Guang Chen, Jun Guo School of Information and Communication Engineering Beijing Unive

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:23
888Query expansion / Document retrieval / Relevance / Tf*idf / Lucene / Search engine indexing / Concept Search / LGTE / Information science / Information retrieval / Text Retrieval Conference

Three Questions about Clinical Information Retrieval Stephen Wu, James Masanz, Ravikumar K.E., Hongfang Liu Mayo Clinic, Rochester, MN 1

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:19
889Relevance feedback / Vector space model / Query expansion / Relevance / Tf*idf / Okapi BM25 / Text Retrieval Conference / Document retrieval / Recommender system / Information science / Information retrieval / Science

Mining Specific and General Features in Both Positive and Negative Relevance Feedback QUT E-Discovery Lab at the TREC’10 Relevance Feedback Track Abdulmohsen Algarni, Yuefeng Li, Xiaohui Tao, Computer Science Disciplin

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 11:22:31
890Statistics / Relevance feedback / Text Retrieval Conference / Precision and recall / Naive Bayes classifier / Relevance / Linear classifier / Tf*idf / Logistic regression / Information science / Information retrieval / Science

Machine Learning for Information Retrieval: TREC 2009 Web, Relevance Feedback and Legal Tracks Gordon V. Cormack and Mona Mojdeh Cheriton School of Computer Science University of Waterloo 1

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Source URL: trec.nist.gov

Language: English - Date: 2010-05-04 11:49:38
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