Author:
Ramakrishnan Gautam,Saicharan V.,Chandrasekaran K.,Rathnamma M. V.,Ramana V. Venkata
Reference19 articles.
1. Gomez-Uribe, C.A., Hunt, N.: The Netflix recommender system: algorithms, business value, and innovation. ACM Trans. Manage. Inf. Syst. 6(4), Article 13, 19 p. (2015).
https://doi.org/10.1145/2843948
2. Davidson, J., Livingston, B., Sampath, D., Liebald, B., Liu, J., Nandy, P., Vleet, T.V., Gargi, U., Gupta, S., He, Y., Lambert, M.: The YouTube video recommendation system, Proceedings of the fourth ACM conference on Recommender systems - RecSys 10 (2010)
3. Jacobson, K., Murali, V., Newett, E., Whitman, B., Yon, R.: Music personalization at Spotify. In: Proceedings of the 10th ACM Conference on Recommender Systems (RecSys ’16). ACM, New York, NY, USA, pp. 373–373 (2016).
https://doi.org/10.1145/2959100.2959120
4. Sarwar, B., Karypis, G., Konstan, J., Reidl, J.: Item-based collaborative filtering recommendation algorithms, Proceedings of the tenth international conference on World Wide Web - WWW 01 (2001)
5. Linden, G., Smith, B., York, J.: Amazon.com recommendations: item-to-item collaborative filtering. IEEE Internet Comput. 7(1), 7680 (2003)
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