Optimizing top-k retrieval: submodularity analysis and search strategies

Frontiers of Computer Science

Volumn 10, Issue 3, 2016, Pages 477-487

  Sha, Chaofeng ^a   Wang, Keqiang ^b   Zhang, Dell ^c   Wang, Xiaoling ^b   Zhou, Aoying ^b  

^a FUDAN UNIVERSITY   (China)

^b EAST CHINA NORMAL UNIVERSITY   (China)

^c UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

diversification; submodular function maximization; top k retrieval

Indexed keywords

APPROXIMATION ALGORITHMS; ITERATIVE METHODS; OPTIMIZATION; QUERY PROCESSING; STAGES;

DIVERSIFICATION; DOCUMENT COLLECTION; GREEDY SEARCH ALGORITHMS; HYBRID SEARCH STRATEGIES; OBJECTIVE FUNCTIONS; SUBMODULAR FUNCTIONS; THEORETICAL APPROXIMATIONS; TOP-K RETRIEVAL;

INFORMATION RETRIEVAL;

EID: 84954487454     PISSN: 20952228     EISSN: 20952236     Source Type: Journal    
DOI: 10.1007/s11704-015-5222-7     Document Type: Article

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