Review of Recommendation System Methodologies

1Dr.D. Vanathi, P. Uma, M. Parvathi and K. Shanmugapriya

214 Views
80 Downloads
Abstract:

Recommender systems became extraordinarily common in recent years. Companies, such as Amazon or eBay, developed an outsized variety product to fulfill totally different desires of customers. There an increasing variety of choices, measure out to the customers. Thus, during this new level of customization, so as to search out what they actually need, customers should frame a model or method from outsized quantity of data provided by businesses. One answer to ease this drawback is recommender systems. On one hand, traditional systems recommend things supported totally different criteria, such as the past preference of users or user profiles. On the another hand, deep learning techniques deliver the goods promising performance in numerous areas, like pc Vision, Audio Recognition and language process. However, applications of deep learning in recommender systems haven't been well explored. Many progressive deep recommendation systems are discussed in this analysis.

Keywords:

Customization, Audio Recognition, Deep Learning.

Paper Details
Month3
Year2019
Volume23
IssueIssue 1
Pages524-531