Deep Learning Based Approaches for Recommendation Systems

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Abstract

Recommendation systems are one of the most widely used Machine Learning algorithms in the industry. Deep learning, a branch of machine learning, is popularly used in fields like Computer Vision, Natural Language Processing etc. Recommender systems have started widely using Deep Learning for generation of recommendations. This paper studies different deep learning methods for the recommendation system highlighting the important aspects of design and implementation.

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Balasubramanian, B., Diwan, P., & Vora, D. (2020). Deep Learning Based Approaches for Recommendation Systems. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 38, pp. 508–520). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-34080-3_58

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