Ranking related entities for web search queries

Proceedings of the 20th International Conference Companion on World Wide Web, WWW 2011

Volumn , Issue , 2011, Pages 67-68

  Kang, Changsung ^a   Vadrevu, Srinivas ^a   Zhang, Ruiqiang ^a   Van Zwol, Roelof ^a   Pueyo, Lluis Garcia ^a   Torzec, Nicolas ^a   He, Jianzhang ^a   Chang, Yi ^a  

^a YAHOO RESEARCH   (United States)

Author keywords

entity ranking; object ranking; semantic search; structured data

Indexed keywords

ENTITY RANKING; ENTITY-RELATIONSHIP; LEARNING TO RANK; OBJECT RANKING; ON-MACHINES; PREFERENCE MODELS; RANKING MODEL; SEMANTIC SEARCH; STRUCTURED DATA; STRUCTURED KNOWLEDGE; USER BEHAVIORS; USER DATA; WEB SEARCH QUERIES;

BEHAVIORAL RESEARCH; QUERY LANGUAGES; SEARCH ENGINES; SEMANTICS;

WORLD WIDE WEB;

EID: 79955369228     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1963192.1963227     Document Type: Conference Paper

References (4)

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3. R. van Zwol, L. G. Pueyo, M. Muralidharan, and B. Sigurbjörnsson. Ranking entity facets based on user click feedback. In IEEE International Conference on Semantic Computing, 2010.
4. Z. Zheng, H. Zha, T. Zhang, O. Chapelle, K. Chen, and G. Sun. A general boosting method and its application to learning ranking functions for web search. In NIPS, pages 1697-1704. MIT Press, 2008.