Analyzing the Impact of Informed Attack Models in Recommender System

Author:

Kumar Ashish1ORCID,Singh Yudhvir2ORCID

Affiliation:

1. Department of Computer Science and Engineering, UIET-Maharshi Dayanand University, India and Department of Computer Science and Applications, P.I.G. Government College for Women, India

2. Department of Computer Science and Engineering, UIET-Maharshi Dayanand University, India

Publisher

ACM

Reference21 articles.

1. Shilling recommender systems for fun and profit

2. Kumar , M. A. , Singh , Y. , Siwach , V. , & Sehrawat , H. ( 2021 ). IMPACT ANALYSIS OF PROFILE INJECTION ATTACKS IN RECOMMENDER SYSTEM. INFORMATION TECHNOLOGY IN INDUSTRY, 9(1), 472-478 . Kumar, M. A., Singh, Y., Siwach, V., & Sehrawat, H. (2021). IMPACT ANALYSIS OF PROFILE INJECTION ATTACKS IN RECOMMENDER SYSTEM. INFORMATION TECHNOLOGY IN INDUSTRY, 9(1), 472-478.

3. Bobadilla , J. , Ortega , F. , Hernando , A. , & Gutiérrez , A. ( 2013 ). Recommender systems survey. Knowledge-based systems, 46, 109-132 . Bobadilla, J., Ortega, F., Hernando, A., & Gutiérrez, A. (2013). Recommender systems survey. Knowledge-based systems, 46, 109-132.

4. Burke , R. , O'Mahony , M. P. , & Hurley , N. J. ( 2015 ). Robust collaborative recommendation. In Recommender systems handbook (pp. 961-995) . Springer , Boston, MA . Burke, R., O'Mahony, M. P., & Hurley, N. J. (2015). Robust collaborative recommendation. In Recommender systems handbook (pp. 961-995). Springer, Boston, MA.

5. Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems

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