A Comparative Study on Shilling Detection Methods for Trustworthy Recommendations

Author:

Wang Youquan,Qian Liqiang,Li Fanzhang,Zhang Lu

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Control and Systems Engineering

Reference33 articles.

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2. Bhaumik, R., Mobasher, B. & Burke, R. (2011). A clustering approach to unsupervised attack detection in collaborative recommender systems. In Zaiane O, Wang W (eds.), Proceedings of the International Conference on Data Mining (ICDM 2011): 181–187, Vancouver, Canada, December 11–14, 2011, IEEE.

3. Bryan, K., O’Mahony, M. & Cunningham, P. (2008). Unsupervised retrieval of attack profiles in collaborative recommender systems. Technical Report, University College Dublin.

4. Buja, A., Swayne, D., Littman, M., Dean, N., Hofmann, H. & Chen, L. (2008). Data visualization with multidimensional scaling. Journal of Computational and Graphical Statistics, 17(2): 444–472.

5. Burke, R., Mobasher, B., Williams, C. & Bhaumik, R. (2006). Classification features for attack detection in collaborative recommendation systems. In Ungar L, Craven M, Gunopulos D (eds.), Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: 542–547, Philadelphia, USA, August 20–20, 2006, ACM.

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