Segment-based injection attacks against collaborative filtering recommender systems

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2005, Pages 4-7

  Burke, Robin ^a   Mobasher, Bamshad ^a   Bhaumik, Runa ^a   Williams, Chad ^a  

^a DEPAUL UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SUPPORTED COOPERATIVE WORK; KNOWLEDGE ENGINEERING;

COLLABORATIVE FILTERING RECOMMENDER SYSTEMS; ITEM BASED ALGORITHMS;

DATA PROCESSING;

EID: 34548577464     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.127     Document Type: Conference Paper

References (7)

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3. J. Herlocker, J. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd ACM Conference on Research and Development in Information Retrieval (SIGIR'99), Berkeley, CA, August 1999.
4. J.Herlocker, J. Konstan, L. G. Tervin, and J. Riedl. Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22(1):5-53, 2004.
5. S. Lam and J. Reidl. Shilling recommender systems for fun and profit. In Proceedings of the 18th International WWW Conference, New York, May 2004.
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7. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In Proceedings of the 10th International World Wide Web Conference, Hong Kong, May 2001.