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Learning to rank
Results: 420

#	Item
211	Temporal Query Log Profiling to Improve Web Search Ranking ∗ Alexander Kotov Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2010-08-15 13:14:32 Internet search Searching Web search query Web query classification Spam Learning to rank Adversarial information retrieval Email spam Information science Information retrieval Spamming
212	JMLR: Workshop and Conference Proceedings–35 Yahoo! Learning to Rank Challenge Learning to Rank Using an Ensemble of Lambda-Gradient Models Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-02-23 14:44:44 Artificial intelligence Learning to rank Pruning Supervised learning Information retrieval Regularization Overfitting Test set ADAPA Machine learning Statistics Computational statistics
213	Tagging data as implicit feedback for learning-to-rank Beate Navarro Bullock Robert Jäschke Andreas Hotho Add to Reading List Source URL: www.kbs.uni-hannover.de Language: English - Date: 2015-04-09 16:45:59 Learning to rank Social bookmarking Ranking Relevance feedback Bing Folksonomy Tag Search engine indexing Information science Information Information retrieval
214	Proceedings Template - WORD Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-06-08 02:19:28 Web search query Personalization Personalized search Learning to rank Bing Google Search Information science Information retrieval Web query classification
215	Fighting Search Engine Amnesia: Reranking Repeated Results Milad Shokouhi Microsoft Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-05-30 01:43:54 Internet Yandex Learning to rank Machine learning Yandex Search Bing Web search engine Personalized search Google Information science Information retrieval Internet search engines
216	Robust Ranking Models via Risk-Sensitive Optimization Lidan Wang Paul N. Bennett Kevyn Collins-Thompson Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-06-14 12:13:58 Query expansion Supervised learning Ranking function Discounted cumulative gain Modern portfolio theory Web search query Relevance feedback Information science Information retrieval Learning to rank
217	Toward Whole-Session Relevance: Exploring Intrinsic Diversity in Web Search Karthik Raman Paul N. Bennett Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2013-05-23 01:36:47 Learning to rank Discounted cumulative gain Relevance Relevance feedback Query expansion Information science Information retrieval Web query classification
218	Active Query Selection for Learning Rankers Mustafa Bilgic Paul N. Bennett Illinois Institute of Technology, Chicago, IL Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2012-06-13 11:58:47 Learning to rank Discounted cumulative gain Relevance Precision and recall Active learning Information science Information retrieval Science
219	Learning to Selectively Rank Patients’ Medical History Nut Limsopatham1 , Craig Macdonald2 , Iadh Ounis2 [removed]1 , [removed]2 School of Computing Science University of Glasgow, Glasg Add to Reading List Source URL: terrierteam.dcs.gla.ac.uk Language: English - Date: 2013-08-12 06:17:10 Relevance Discounted cumulative gain Precision and recall Text Retrieval Conference Learning to rank Information science Information retrieval Science
220	For and against teacher standards Based on John Mitchell’s Inside VET column for Campus Review, 8 March 2010 Is it possible to rank VET teachers’ skills and knowledge? There are moves afoot to define teaching standar Add to Reading List Source URL: jmaanalytics.acer.edu.au Language: English - Date: 2014-08-06 00:28:25 Philosophy of education Alternative education Vocational education Knowledge Teacher education Skill Veterinary physician Educational psychology Apprentices mobility Education Learning Cognition

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