A New Mechanism to Improve the Detection Rate of Shilling Attacks in the Recommender Systems
Recommender systems are widely used, in social networks and online stores, to overcome the problems caused by the large amount of information. Most of these systems use a collaborative filtering method to generate recommendations to the users. But, as in this method users’ feedback is considered for...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Tehran
2017-12-01
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| Series: | Journal of Information Technology Management |
| Subjects: | |
| Online Access: | https://jitm.ut.ac.ir/article_62727_00f733abc13f9d297f4ef0696ccbda2d.pdf |