Learning to rank - PDFSEARCH.IO - Document Search Engine

Learning to rank
Results: 420

#	Item
131	Learning Concept Importance Using a Weighted Dependence Model Michael Bendersky Dept. of Computer Science University of Massachusetts Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:09:20 Query expansion Learning to rank Language model Search engine indexing Query likelihood model Relevance feedback Document retrieval Text Retrieval Conference N-gram Information science Information retrieval Science
132	Measuring the Reusability of Test Collections Ben Carterette† , Evgeniy Gabrilovich‡ , Vanja Josifovski‡ , Donald Metzler‡ † Department of Computer & Information Sciences, University of Delaware, Newark, DE ‡ Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:36:32 Information retrieval IR evaluation Precision and recall Learning to rank Confidence interval Relevance Ranking function Standard error Discounted cumulative gain Statistics Information science Science
133	Beyond DCG: User Behavior as a Predictor of a Successful Search Ahmed Hassan ∗ Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:35:30 Learning to rank Relevance feedback Markov chain N-gram Web search query Discounted cumulative gain Markov model Relevance Bing Information science Information retrieval Science
134	Improving Quality of Training Data for Learning to Rank Using Click-Through Data Jingfang Xu Chuanliang Chen Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:29:22 Formal sciences Information retrieval Learning to rank Regression analysis Data mining Error detection and correction Errors and residuals in statistics Support vector machine Ranking function Statistics Machine learning Measurement
135	Multi-Prototype Label Ranking with Novel Pairwise-to-Total-Rank Aggregation Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2013-10-07 23:53:33 Learning to rank Science Information Political philosophy Pairwise comparison Psychometrics Borda count
136	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.wsdm-conference.org Language: English - Date: 2009-12-30 01:26:32 Convex optimization Machine learning Operations research Information retrieval Learning to rank Gradient boosting Lagrange multiplier Supervised learning Interior point method Mathematical optimization Numerical analysis Mathematical analysis
137	Towards Recency Ranking in Web Search Anlei Dong Yi Chang Zhaohui Zheng Gilad Mishne Jing Bai Ruiqiang Zhang Karolina Buchner Ciya Liao Fernando Diaz Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:06:54 Internet search Memory Mental processes Learning to rank Machine learning Storage Web query classification ACT-R Web search query Information science Information retrieval Science
138	Ranking with Query-Dependent Loss for Web Search ∗ Jiang Bian College of Computing Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:23:56 Learning to rank Web search query Web query classification Discounted cumulative gain Ranking Bin SQL Search engine Vector space model Information science Information retrieval Ranking function
139	Non-linear Label Ranking for Large-scale Prediction of Long-Term User Interests Nemanja Djuric† , Mihajlo Grbovic† , Vladan Radosavljevic† , Narayan Bhamidipati† , Slobodan Vucetic‡ † Yahoo! Labs, Sunnyvale, Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2014-04-21 22:39:54 Machine learning Human–computer interaction Learning to rank Personalization Level of measurement Mixture model Support vector machine Statistics Information science Information retrieval
140	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Learning to Rank 3D Features Tuzel, O.; Liu, M-Y.; Taguchi, Y.; Raghunathan, A.U. Add to Reading List Source URL: www.merl.com Language: English - Date: 2014-12-05 11:01:01 Imaging Object recognition Pose 3D pose estimation Geometric hashing Hough transform Support vector machine 3D modeling 3D single object recognition Computer vision Artificial intelligence Vision

UPDATE