Recommender Systems

pp 385-410


Attack-Resistant Recommender Systems

  • Charu C. AggarwalAffiliated withIBM T.J. Watson Research Center

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The input to recommender systems is typically provided through open platforms. Almost anyone can register and submit a review at sites such as and Like any other data-mining system, the effectiveness of a recommender system depends almost exclusively on the quality of the data available to it. Unfortunately, there are significant motivations for participants to submit incorrect feedback about items for personal gain or for malicious reasons: