Learning to rank

Results: 420



#Item
281Iris flower data set / Machine learning / University of Oxford undergraduate admissions statistics / Statistics / Elections in Spain / Index numbers

Table 1. Personnel-to-Population Ratios for ASHA-Certified Audiologists and SpeechLanguage Pathologists by State, and State Rank, 2013 State Alabama Alaska Arizona

Add to Reading List

Source URL: www.asha.org

Language: English - Date: 2014-07-31 13:19:33
282Tensors / Abstract algebra / Matrix theory / Singular value decomposition / Markov chain / Rank / Eigenvalues and eigenvectors / Matrix / Vector space / Algebra / Mathematics / Linear algebra

JMLR: Workshop and Conference Proceedings vol[removed]–62 A Tensor Spectral Approach to Learning Mixed Membership Community Models Animashree Anandkumar

Add to Reading List

Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:19
283Collaborative filtering / Recommender system / Learning to rank / GroupLens Research / Information filtering system / Personalization / Precision and recall / Relevance / Information science / Information retrieval / Science

CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering ∗ Yue Shi

Add to Reading List

Source URL: www.ci.tuwien.ac.at

Language: English - Date: 2012-07-25 17:33:29
284Collaborative filtering / Learning to rank / Recommender system / Music information retrieval / Speech recognition / Machine learning / Neural network / Information science / Information retrieval / Science

Deep content-based music recommendation A¨aron van den Oord, Sander Dieleman, Benjamin Schrauwen Electronics and Information Systems department (ELIS), Ghent University {aaron.vandenoord, sander.dieleman, benjamin.schr

Add to Reading List

Source URL: papers.nips.cc

Language: English - Date: 2014-04-23 13:10:21
285Learning to rank / Ranking function / Recommender system / Tf*idf / Relevance / Precision and recall / Collaborative filtering / Vector space model / Search engine indexing / Information science / Information retrieval / Science

CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks Alejandro Bellogín† , Gebrekirstos G. Gebremeskel† , Jiyin He† , Jimmy Lin∗ , Alan Said† , Thaer Samar† , Arjen

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:25
286Learning to rank / Relevance feedback / Twitter / Query expansion / Relevance / Information science / Information retrieval / Tf*idf

ICTNET at Microblog Track in TREC 2013 Jinhua Gao1,2 , Guoxin Cui1,2 , Shenghua Liu1 , Yue Liu1 , and Xueqi Cheng1 1 Center of Web Data Science and Engineering, Institute of Computing Technology, Chinese Academy of Scien

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:26
287Relevance feedback / Learning to rank / Web search query / Twitter / Document retrieval / Google Search / Relevance / Tf*idf / Information science / Information retrieval / Query expansion

QCRI at TREC 2013 Microblog Track Tarek El-Ganainy Qatar Computing Research Institute Doha, Qatar

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
288Learning to rank / Search engine indexing / Precision and recall / Information science / Information retrieval / Science

Boosting Venue Page Rankings for Contextual Retrieval Georgetown at TREC 2013 Contextual Suggestion Track Jiyun Luo and Hui Yang Department of Computer Science, Georgetown University 37th and O Street,NW, Washington DC,

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:26
289Twitter / Relevance feedback / Tf*idf / Learning to rank / Query expansion / Relevance / Search engine indexing / Stemming / Information science / Information retrieval / Science

PRIS at TREC 2013 Microblog Track Siming Zhu, Zhe Gao, Yajing Yuan, Hui Wang, Guang Chen School of Information and Communication Engineering Beijing University of Posts and Telecommunications Abstract:

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
290Lemur Project / Learning to rank / Search engine indexing / Google Search / Search engine / Web search engine / Relevance feedback / Web query classification / Information science / Information retrieval / Query expansion

DLDE at web track: ad-hoc task Jie Chen, Zhendong Niu, Yulong Shi, Changmin Zhang, and Weiyin Li {[removed],[removed],[removed], [removed],[removed]} Abstract. In this note paper, w

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:25
UPDATE