Review paper
A Study of Recent Recommender System Techniques
Volume: 10, Issue: 2, Pages: 13 - 41
Published: Apr 1, 2019
Abstract
The influx of data in most domains is huge and dynamic, leading to big data and hence the need to build a recommender system grows stronger. This work is a comprehensive survey of the current status of different recommendation approaches, their limitations and extension which when applied may eradicate the incessant information overload problem of web entirely. Further, an investigation is conducted on the Google Scholar database, delineating...
Paper Details
Title
A Study of Recent Recommender System Techniques
Published Date
Apr 1, 2019
Volume
10
Issue
2
Pages
13 - 41
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