Collaborative Filtering Techniques in Recommendation Systems

Author:

Raghuwanshi Sandeep K.,Pateriya R. K.

Publisher

Springer Singapore

Reference26 articles.

1. Aggarwal, C.C.: Recommender Systems. Springer International Publishing, Switzerland (2016). https://doi.org/10.1007/978-3-319-29659-3

2. Paul, R., Neophytos, I., Mitesh, S., Bergstrom, P., Riedl, J.: GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work Chapel Hill, North Carolina, United States, pp. 175–186 (1994)

3. Witten, I.H., Frank, I.: Data Mining. Morgan Kaufman Publishers, San Francisco (2000)

4. Jhon Breese, S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intelligence, pp. 43–52, July (1998)

5. Deshpande, M., Karypis, G.: Item-based top-N recommendation algorithms. ACM Trans. Inf. Syst. 22(1), 143–177 (2004)

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