Integration of Deep Reinforcement Learning with Collaborative Filtering for Movie Recommendation Systems

In the era of big data, effective recommendation systems are essential for providing users with personalized content and reducing search time on online platforms. Traditional collaborative filtering (CF) methods face challenges like data sparsity and the new-user or cold-start issue, primarily due t...

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Hlavní autoři:	Sony Peng, Sophort Siet, Sadriddinov Ilkhomjon, Dae-Young Kim, Doo-Soon Park
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-01-01
Edice:	Applied Sciences
Témata:	recommendation system deep reinforcement learning collaborative filtering cold start
On-line přístup:	https://www.mdpi.com/2076-3417/14/3/1155
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