Detection of Abnormal Item Based on Time Intervals for Recommender Systems

With the rapid development of e-business, personalized recommendation has become core competence for enterprises to gain profits and improve customer satisfaction. Although collaborative filtering is the most successful approach for building a recommender system, it suffers from “shilling” attacks....

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Bibliographic Details
Main Authors: Min Gao, Quan Yuan, Bin Ling, Qingyu Xiong
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/845897