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Recommender Systems Role in Deep Learning - A Survey

D. Raghava*, S. Anusha **

* Sri Venkateswara Institute of Technology, Anantapur, Andhra Pradesh, India.

** Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.

Periodicity:March - May'2020
DOI : https://doi.org/10.26634/jcom.8.1.17490

Abstract

Recommender systems have gained its importance because of the availability of enormous online information with the increasing use of internet, online marketing and media outlets. Currently, deep learning has gained appreciable attention in many researches such as natural language processing, artificial intelligence due to high performance and great learning feature representations. The effect of deep learning is also persistent, lately showing its usefulness in retrieval of information and recommenders work which eventually have resulted in the growth of deep learning approaches in recommender system. Hybrid approaches for designing recommender models is gaining popularity in recent years. This paper aims in giving a comprehensive insight of recent research works on recommender systems.

Keywords

Recommender System, Filtering, Deep Learning, Content-based, Hybrid Technique.

How to Cite this Article?

Raghava, D., and Anusha, S. (2020). Recommender Systems Role in Deep Learning - A Survey. i-manager's Journal on Computer Science, 8(1), 28-32. https://doi.org/10.26634/jcom.8.1.17490

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