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Learning to rank
Results: 420

#	Item
151	ICTNET at Session Track TREC2014 Yuanhai Xue1,2,3, Guoxin Cui1,2,3, XiaomingYu,2, Yue Liu1,2 , Xueqi Cheng1,2 1)Institute of Computing Technology, Chinese Academyof Sciences, Beijing, KeyLaboratoryof Web Data Sc Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:36 Query expansion Relevance Session Information science Information retrieval Learning to rank
152	Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track Anastasia Giachanou1 , Ilya Markov2 and Fabio Crestani1 1 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:38 Relevance 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
153	University of Glasgow at TREC 2014: Experiments with Terrier in Contextual Suggestion, Temporal Summarisation and Web Tracks Richard McCreadie, Romain Deveaud, M-Dyaa Albakour, Stuart Mackie, ⇤ Nut Limsopatham, Craig M Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:38 Natural language processing Computational linguistics Learning to rank Machine learning Recommender system Relevance feedback Foursquare Stemming Information science Information retrieval Science
154	QCRI at TREC 2014: Applying the KISS principle for the TTG task in the Microblog Track Walid Magdy Wei Gao Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:37 Twitter Relevance Learning to rank Precision and recall Query expansion Information science Information retrieval Relevance feedback
155	Paul N. Bennett Senior Researcher, CLUES Microsoft Research One Microsoft Way Redmond, WA 98052 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2015-02-20 14:47:42 Information retrieval Knowledge Special Interest Group on Information Retrieval Association for Computing Machinery Learning to rank Machine learning Data mining Browse Jaime Teevan Science Information science Natural language processing
156	ICTNET at Microblog Track in TREC 2014 Guoxin Cui1,2,3, Fabin Shi1,2,3, Xiaolei Liu1,2,3, Xiaobo Hao1,2,3, Xueke Xu1,2, Yue Liu1,2 , Xueqi Cheng1,2 1)Institute of Computing Technology, Chinese Academyof Sciences, Beijing Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:36 Learning to rank Text Retrieval Conference Twitter Tf*idf Relevance BM25 Language model Data mining Information science Information retrieval Science
157	Exploration of Opinion-aware Approach to Contextual Suggestion Peilin Yang and Hui Fang Department of Electrical and Computer Engineering University of Delaware, USA {franklyn,hfang}@udel.edu Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:38 Learning to rank Interpolation Science Information science Natural language processing Information retrieval
158	Overview of the TREC 2014 Contextual Suggestion Track Adriel Dean-Hall University of Waterloo Charles L. A. Clarke University of Waterloo Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-19 14:29:20 Learning to rank Cluedo Games Information science Comma-separated values
159	SNUMedinfo at TREC Web trackSungbin Choi, Jinwook Choi Medical Informatics Laboratory, Seoul National University, Seoul, Republic of Korea , Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:37 Spamming Information retrieval Natural language processing Link analysis Reputation management PageRank Email spam Spam Learning to rank Internet Computing Information science
160	Applying Learning to Rank Techniques to Contextual Suggestions Julia Kiseleva1 Jaap Kamps2 1 Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:35 Human–computer interaction Internet Information retrieval User interface techniques Android software Foursquare Yelp Inc. Google Text Retrieval Conference Computing Software Natural language processing

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