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Learning to rank
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#	Item
181	IntervalRank — Isotonic Regression with Listwise and Pairwise Constraints ∗ Taesup Moon, Alex Smola , Yi Chang, Zhaohui Zheng Yahoo! Labs Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2009-11-15 16:54:36 Machine learning Operations research Information retrieval Learning to rank Convex optimization Supervised learning Gradient boosting Lagrange multiplier BFGS method Mathematical optimization Mathematics Mathematical analysis
182	A Fusion Approach to XML Structured Document Retrieval† Ray R. Larson School of Information Management and Systems University of California, Berkeley Berkeley, CA[removed]removed] Add to Reading List Source URL: cheshire.berkeley.edu Language: English - Date: 2005-05-16 17:11:53 Search engine indexing Document retrieval Relevance Proximity search XML Nearest neighbor search Concept Search Learning to rank Information science Information retrieval XML-Retrieval
183	JMLR: Workshop and Conference Proceedings[removed]–24 Yahoo! Learning to Rank Challenge Yahoo! Learning to Rank Challenge Overview Olivier Chapelle∗ Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2011-01-30 18:01:35 Searching Learning to rank Natural language processing Internet search Ranking function Search engine indexing Supervised learning Discounted cumulative gain Web search query Information science Information retrieval Machine learning
184	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 1 Learni Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2013-08-30 13:09:03 Operations research Information retrieval Learning to rank Discounted cumulative gain Artificial intelligence Science Support vector machine Ranking Utility Statistics Machine learning Decision theory
185	Predicting Primary Categories of Business Listings for Local Search Changsung Kang, Jeehaeng Lee, Yi Chang Yahoo! Labs Sunnyvale, CA Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2012-12-26 20:24:24 Information retrieval Machine learning Data mining Natural language processing Local search Document classification Click consonant Learning to rank Centroid Information science Science Statistics
186	A Two-Dimensional Click Model for Query Auto-completion Yanen Li1 , Anlei Dong2 , Hongning Wang1 , Hongbo Deng2 , Yi Chang2 , ChengXiang Zhai1 1 Department of Computer Science, University of Illinois at Urbana-Champaign, Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2014-05-12 04:26:44 Query expansion Maximum likelihood Web search query Relevance Browse Information science Information retrieval Learning to rank
187	Session Based Click Features for Recency Ranking Yoshiyuki Inagaki and Narayanan Sadagopan and Georges Dupret and Ciya Liao Anlei Dong and Yi Chang and Zhaohui Zheng Yahoo Labs 701 First Avenue Sunnyvale, CA 94089 Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2010-04-13 22:57:18 Ranking SVM Ranking function Ranking Web search engine Information science Information retrieval Learning to rank
188	How Does Clickthrough Data Reflect Retrieval Quality? Filip Radlinski Madhu Kurup∗ Dept. of Computer Science Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-10-05 14:43:04 Web search query Google Search Relevance Bing Ranking Full text search Learning to rank Information science Information retrieval Ranking function
189	Online Learning for Recency Search Ranking Using Real-time User Feedback Taesup Moon, Lihong Li, Wei Chu Yahoo! Labs 701 First Ave, Sunnyvale, CA Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2010-08-19 14:02:14 Natural language processing Learning to rank Internet search engines Ranking function Ranking Supervised learning Algorithm Bing Information science Information retrieval Machine learning
190	JMLR: Workshop and Conference Proceedings[removed]–100 Yahoo! Learning to Rank Challenge Future directions in learning to rank Olivier Chapelle Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2011-01-30 18:02:06 Learning Information retrieval Learning to rank Natural language processing Stability Feature selection Ranking function Support vector machine Data mining Machine learning Statistics Artificial intelligence

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