Ranking function

Results: 209



#Item
191Text Retrieval Conference / Ranking function / Document retrieval / Tf*idf / Relevance / Search engine / Relevance feedback / Concept Search / Information science / Information retrieval / RetrievalWare

The Excalibur TREC-4 System, Preparations, and Results Paul E. Nelson, VP of Text Products[removed]

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Source URL: www.pnelsoncomposer.com

Language: English - Date: 2009-06-22 17:19:44
192Search engine indexing / Ranking function / Search engine / MapReduce / Bx-tree / Query optimizer / Information science / Information retrieval / Web search query

14 Parallel Information Retrieval

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Source URL: www.ir.uwaterloo.ca

Language: English - Date: 2010-01-22 03:41:41
193Ranking SVM / Learning to rank / Ranking function / Support vector machine / Okapi BM25 / IR evaluation / Tf*idf / Active learning / Discounted cumulative gain / Information science / Information retrieval / Science

Adapting Ranking SVM to Document Retrieval Yunbo CAO1, Jun XU2, Tie-Yan LIU1, Hang LI1, Yalou HUANG2, Hsiao-Wuen HON1 1

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Source URL: research.microsoft.com

Language: English - Date: 2009-08-07 05:09:08
194Information retrieval / Ensemble learning / Learning to rank / Ranking SVM / Ranking function / AdaBoost / BM25 / Support vector machine / Boosting / Machine learning / Information science / Artificial intelligence

SIGIR 2007 Proceedings Session 16: Learning to Rank II

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Source URL: research.microsoft.com

Language: English - Date: 2009-07-21 18:56:19
195Learning to rank / Relevance / Okapi BM25 / Document retrieval / Vector space model / Text Retrieval Conference / Ranking function / Precision and recall / Probabilistic latent semantic analysis / Information science / Information retrieval / Science

Learning to Model Relatedness for News Recommendation Yuanhua Lv

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Source URL: sifaka.cs.uiuc.edu

Language: English - Date: 2011-02-02 20:49:31
196Ranking function / Ranking SVM / Relevance feedback / Google Search / Web search query / Search engine / Document retrieval / Bing / Web query classification / Information science / Information retrieval / Learning to rank

Query Chains: Learning to Rank from Implicit Feedback Filip Radlinski

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Source URL: www.cs.cornell.edu

Language: English - Date: 2007-08-03 03:34:50
197Relevance / Ranking function / Language model / Binary Independence Model / Query expansion / Economic model / Probabilistic relevance model / Okapi BM25 / Information science / Information retrieval / Science

Foundations and Trends R in Information Retrieval Vol. 3, No[removed]–389

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Source URL: www.soi.city.ac.uk

Language: English - Date: 2010-01-14 10:54:50
198Ranking function / Support vector machine / Web search query / Kernel methods / Active learning / Google Search / Document retrieval / Web search engine / Search engine indexing / Information science / Information retrieval / Ranking SVM

PDF Document

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Source URL: www.cs.cornell.edu

Language: English - Date: 2002-06-01 07:55:36
199Learning to rank / Ranking function / Discounted cumulative gain / Information retrieval / Gradient boosting / Supervised learning / Regression analysis / Cross-validation / Support vector machine / Statistics / Machine learning / Artificial intelligence

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Source URL: www.cc.gatech.edu

Language: English - Date: 2007-09-14 21:35:56
200Okapi BM25 / Ranking function / Relevance feedback / Tf*idf / Circumflex / PageRank / BM25 / C1 Controls and Latin-1 Supplement / World glyph set / Information science / Information retrieval / Science

PDF Document

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Source URL: trec.nist.gov

Language: English - Date: 2005-04-04 16:00:42
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