Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 1977-1980

  Sanner, Scott ^a   Guo, Shengbo ^b   Graepel, Thore ^c   Kharazmi, Sadegh ^d   Karimi, Sarvnaz ^e  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b XEROX RESEARCH CENTRE EUROPE   (France)

^c MICROSOFT RESEARCH   (United Kingdom)

^d RMIT UNIVERSITY   (Australia)

^e UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

diversity; maximal marginal relevance; set level relevance

Indexed keywords

DIVERSITY; GREEDY OPTIMIZATION; MAXIMAL MARGINAL RELEVANCE; NEW RESULTS; ONE STEP; RELEVANCE CRITERIA; RELEVANCE MODELS; RETRIEVAL ALGORITHMS; SET-LEVEL RELEVANCE;

ALGORITHMS; KNOWLEDGE MANAGEMENT;

OPTIMIZATION;

EID: 83055179304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063869     Document Type: Conference Paper

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