pRankAggreg: A fast clustering based partial rank aggregation-Reference-Cited by-同舟云学术

pRankAggreg: A fast clustering based partial rank aggregation

Published:2019-04 Issue: Volume:478 Page:408-421
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Gao Yunpeng,Xu Ke

Funder

NSFC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. Sophisticated voting with information for two voting functions;Adelsman;J. Econ. Theory,1977

2. Collective intelligence and databases in ehealth: a survey;Azahara;J. Intell. Fuzzy Syst.,2017

3. The impact of caching on search engines;Baeza-Yates;SIGIR,2007

4. Agglomerative clustering of a search engine query log;Beeferman;SIGKDD,2000

5. Topology of music recommendation networks;Cano;Chaos,2006

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