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Learning to rank
Results: 420

#	Item
11	Learning Temporal-Dependent Ranking Models Miguel Costa, Francisco Couto, Mário Silva LaSIGE @ Faculty of Sciences, University of Lisbon IST/INESC-ID, University of Lisbon 37th Annual ACM SIGIR Conference, Gold Coast, A Add to Reading List Source URL: xldb.fc.ul.pt Language: English - Date: 2014-09-03 11:43:47 Information science Information retrieval Web archiving Natural language processing WebCite Special Interest Group on Information Retrieval Learning to rank Web search engine Temporal information retrieval
12	Automatic Search Engine Performance Evaluation with Click-through Data Analysis* Yiqun Liu, Yupeng Fu Min Zhang, Shaoping Ma Add to Reading List Source URL: www.sogou.com Language: English - Date: 2016-06-28 04:30:57 Information science Information retrieval Internet search engines Internet search Web search query Google Search Semantic Web Web query classification Learning to rank
13	Van B. Dang Center for Intelligent Information Retrieval (CIIR) School of Computer Science University of Massachusetts Amherst 140 Governors Drive Amherst, MA Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2013-10-24 18:05:50 Information science Information retrieval W. Bruce Croft Natural language processing Center for Intelligent Information Retrieval Learning to rank Temporal information retrieval
14	C:/Users/kevynct/Documents/sigir11-enir/sigir2011-rd-position.dvi Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-06-25 11:59:44 Information science Information retrieval Internet search engines Query expansion Google Search Humancomputer information retrieval Learning to rank
15	Modeling User Variance in Time-Biased Gain Mark D. Smucker Department of Management Sciences University of Waterloo, Canada Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2012-10-03 11:51:35 Information science Information retrieval Information retrieval evaluation Information Relevance Normal distribution Precision and recall Learning to rank Usability Meta-analysis Discounted cumulative gain Automatic summarization
16	SIGIR 2008, Singapore A Generation Model To Unify Topic Relevance and Lexicon-based Sentiment For Opinion Retrieval Add to Reading List Source URL: www.thuir.org Language: English - Date: 2008-09-05 09:08:19 Information science Information retrieval Information Natural language processing Information retrieval evaluation Machine learning Relevance Ranking Document classification Relevance feedback Learning to rank
17	A tutorial at WWW 2009 Learning to Rank for Information Retrieval Add to Reading List Source URL: www2009.wwwconference.org Language: English - Date: 2009-04-13 18:58:45 Information science Information retrieval Information retrieval evaluation Natural language processing Learning to rank Machine learning Internet search engines Ranking Discounted cumulative gain Evaluation measures Precision and recall Search engine indexing
18	Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 11: Probabilistic Information Retrieval Add to Reading List Source URL: essir.uni-koblenz.de Language: English - Date: 2016-02-24 18:38:54 Information science Natural language processing Okapi BM25 Information retrieval Learning to rank BM25 Binary Independence Model Latent semantic analysis Probabilistic relevance model Ranking
19	Learning to Rank Features for Recommendation over Multiple Categories Xu Chen1 Yongfeng Zhang2∗ Add to Reading List Source URL: yongfeng.me Language: English - Date: 2016-04-15 08:42:37 Software Recommender systems Computing Collaboration Collaborative filtering Yelp Product Unity
20	UNIVERSITY OF CALIFORNIA, SAN DIEGO More like this: machine learning approaches to music similarity A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:40 Machine learning Information retrieval Information science Learning Dimensionality reduction Learning to rank K-nearest neighbors algorithm T-distributed stochastic neighbor embedding