Detection of abnormal profiles on group attacks in recommender systems
Author:
Affiliation:
1. Chongqing University, Chongqing, China
2. University of Auckland, Auckland, New Zealand
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2600428.2609483
Reference13 articles.
1. Shilling recommender systems for fun and profit
2. Robust collaborative filtering
3. Attack resistant collaborative filtering
4. Classification features for attack detection in collaborative recommender systems
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