A Comparison Study of Different Privacy Preserving Techniques in Collaborative Filtering Based Recommender System

Author:

Mallik Sitikantha,Sahoo Abhaya Kumar

Publisher

Springer Singapore

Reference12 articles.

1. Shrivastav, L.K.: An intelligent & enhanced hydra: a web recommender system. Int. J. Eng. Appl. Sci. Technol. 1, 165–169(2016)

2. Isinkaye, O., Folajimi, Y.O., Ojokoh, B.A.: Recommendation systems: principles, methods, and evaluation. Egypt. Inform. J. 16(3), 261–273 (2015)

3. Yao, G., Cai, L.: User-Based & Item-Based Collaborative Filtering Recommendation Algorithms Design. University of California, San Diego (2015)

4. Badsha, S., Khalil, Y., Xun, A.: Practical privacy-preserving recommender system. Data Sci. Eng. 1, 161–177 (2016)

5. Bokdea, D., Giraseb, S., Mukhopadhyay, D.: MatrixFactorization model in collaborative filtering algorithms. Procedia Comput. Sci. 49, 136–146 (2015)

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