Precision and recall

Results: 1210



#Item
421PageRank / Query expansion / Search engine indexing / Search engine / Precision and recall / Tf*idf / Google Search / Information science / Information retrieval / Latent semantic indexing

ICTNET at Federated Web Search Track 2014 Feng Guan1,2,3, Shuiyuan Zhang1,2,3, Chunmei Liu1,2,3, XiaomingYu1,2,Yue Liu1,2 , Xueqi Cheng1,2 1)Institute of Computing Technology, Chinese Academyof Sciences, Beijing, 100190

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:36
422Statistics / Natural language processing / Machine learning / Crowdsourcing / Social psychology / Relevance / Naive Bayes classifier / Precision and recall / Supervised learning / Science / Information science / Information retrieval

MSRC at TREC 2011 Crowdsourcing Track Paul Bennett1 1 2 Ece Kamar1

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Source URL: research.microsoft.com

Language: English - Date: 2012-03-05 15:31:29
423Searching / Search engine indexing / Precision and recall / Query expansion / Information science / Information retrieval / Science

BUPT_PRIS at TREC 2014 Knowledge Base Acceleration Track

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:34
424Search engine indexing / Precision and recall / Automatic summarization / Concept Search / Information science / Information retrieval / Science

ICTNET  at  Temporal  Summarization  Track  TREC  2014   Lei    Chen1,2,3,  Hainan  Zhang1,2,3,  Siying  Li1,2,3,  Zhiyuan  Ji1,2,3,    Qian  Liu1,2,3,  Yue  Liu1,2  ,  Dayong  Wu1,2  ,  Xueqi  

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:36
425Discovery / Document review / Attorney–client privilege / Privilege / Precision and recall / Legal professional privilege in England and Wales / Law / Privileged communication / Attorney-client privilege

Microsoft Word - Privilege-Prediction-Gabriel-Paskach-Sharpe-22May.docx

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Source URL: www.umiacs.umd.edu

Language: English - Date: 2013-05-23 18:27:15
426Relevance / Learning to rank / Text Retrieval Conference / Precision and recall / Search engine indexing / Federated search / Document retrieval / Search engine / Discounted cumulative gain / Information science / Information retrieval / Science

Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track Anastasia Giachanou1 , Ilya Markov2 and Fabio Crestani1 1

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:38
427Twitter / Relevance / Learning to rank / Precision and recall / Query expansion / Information science / Information retrieval / Relevance feedback

QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track Walid Magdy Wei Gao

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:37
428Invisible Web / Web search query / Web search engine / Text Retrieval Conference / Google Search / HITS algorithm / Precision and recall / Cluster analysis / Search engine indexing / Information science / Information retrieval / Science

Microsoft Word - submit_v2.doc

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Source URL: www.thuir.cn

Language: English - Date: 2008-03-12 23:30:22
429Google Search / PageRank / Web search engine / Precision and recall / IR evaluation / Search engine indexing / Relevance feedback / Information science / Information retrieval / Science

Microsoft Word - THU_Yiqunliu.doc

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Source URL: www.thuir.cn

Language: English - Date: 2008-03-12 23:30:19
430Search engine indexing / Relevance / Precision and recall / Search engine / Information science / Information retrieval / Science

Drexel at TREC 2014 Federated Web Search Track Haozhen Zhao Xiaohua Hu College of Computing and Informatics

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:35
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