Deep Learning-Based Recommendation: Current Issues and Challenges

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Deep Learning-Based Recommendation: Current Issues and Challenges

Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 12

Abstract

Due to the revolutionary advances of deep learning achieved in the field of image processing, speech recognition and natural language processing, the deep learning gains much attention. The recommendation task is influenced by the deep learning trend which shows its significant effectiveness and the high-quality of recommendations. The deep learning based recommender models provide a better detention of user preferences, item features and users-items interactions history. In this paper, we provide a recent literature review of researches dealing with deep learning based recommendation approaches which are preceded by a presentation of the main lines of the recommendation approaches and the deep learning techniques. We propose also classification criteria of the different deep learning integration model. Then we finish by presenting the recommendation approach adopted by the most popular video recommendation platform YouTube which is based essentially on deep learning advances.

Authors and Affiliations

Rim Fakhfakh, Anis Ben Ammar, Chokri Ben Amar

Keywords

Recommender system; deep learning; neural network; YouTube recommendation

EP ID EP258291
DOI 10.14569/IJACSA.2017.081209
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