Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities-Reference-Cited by-同舟云学术

Improving accuracy and diversity of personalized recommendation through power law adjustments of user similarities

Published:2013-06 Issue:3 Volume:55 Page:811-821
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Gan Mingxin,Jiang Rui

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

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