The Technologies Used for Artwork Personalization and the Challenges

Author:

Guo Zhuoyan

Publisher

Atlantis Press International BV

Reference15 articles.

1. Ferretti S, Mirri S, Prandi C, & Salomoni P.: On personalizing web content through reinforcement learning. Universal Access in the Information Society, International Journal, Vol. 16(2), 2017, pp. 395–410. https://doi.org/10.1007/s10209-016-0463-2

2. Li L, Chu W, Langford J, & Schapire R E.: A contextual-bandit approach to personalized news article recommendation. In Proceedings of the 19th international conference on World wide web, 2010, April, pp. 661–670.

3. Mirri S, Prandi C, & Salomoni P.: (2013, October). Experiential adaptation to provide user-centered web content personalization. In Proc. IARIA Conference on Advances in Human oriented and Personalized Mechanisms, Technologies, and Services (CENTRIC2013) (pp. 31–36).

4. Fouladirad M, Neal J, Ituarte J V, Alexander J, & Ghareeb A.: Entertaining data: business analytics and Netflix. Int J Data Anal Inf Syst, Vol. 10(1), 2018, pp. 13-22.

5. Chandrashekar, A. C. (2018, September 12). Netflixartwork personalization through multi-armed bandit testing. Reforge. Retrieved September 16, 2022, from https://www.reforge.com/brief/netflix-artwork-personalization-through-multi-armed-bandit-testing#-I84JSKg8bhzPl5wTnn3Ug

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