Enhancing the robustness of recommender systems against spammers.
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ABSTRACT:
SUBMITTER: Zhang C
PROVIDER: S-EPMC6211683 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Publications
Enhancing the robustness of recommender systems against spammers.
Zhang Chengjun C Liu Jin J Qu Yanzhen Y Han Tianqi T Ge Xujun X Zeng An A
PloS one 20181101 11
The accuracy and diversity of recommendation algorithms have always been the research hotspot of recommender systems. A good recommender system should not only have high accuracy and diversity, but also have adequate robustness against spammer attacks. However, the issue of recommendation robustness has received relatively little attention in the literature. In this paper, we systematically study the influences of different spammer behaviors on the recommendation results in various recommendatio ...[more]
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