Explain the concept of hybrid recommender systems.

Apr 3, 2020 ... Abstract. This paper provides an innovative deep learning architecture to improve collaborative filtering results in recommender systems. It ... Collaborative filtering is fully data-driven since it does not require any extra information other than test outcomes while logistic regression is applicable ... Feb 26, 2024 ... Most recommendation systems use collaborative filtering to find similar patterns or information about the users. This technique can filter out ... Oct 15, 2017 ... Definitely. It's probably considered AI by this point. I have seen OLS described as AI, and if that flies, I can't see anything else that works in the space ... Feb 27, 2025 ... Collaborative filtering uses similarities between users and items simultaneously to provide recommendations. Nov 24, 2023 ... Keywords: CNN; Collaborative filtering; Deep learning; Health Recommendation system; RBM; Recommendation system. © 2023 The Authors. Feb 2, 2019 ... We develop a novel and effective approach, named CFRL, which seamlessly integrates the ideas of both collaborative filtering (CF) and reinforcement learning ( ... In this paper, we propose two recommendation models to solve the CCS and ICS problems for new items, which are based on a framework of tightly coupled CF ... based on similar users using collaborative filtering by Machine learning algorithms and finally the location factor that facilitates smart navigation in the ... Dec 29, 2022 ... The collaborative filtering (CF) mechanism was used in this work. Singhal et al. [3] focused on the role of deep learning in the e-Learning ...