A SURVEY ON COMPREHENSIVE TRENDS IN RECOMMENDATION SYSTEMS & APPLICATIONS

10.7903/ijecs.1705

Ssvr Kumar Addagarla；Anthoniraj Amalanathan

Recommendation System ； Content-Based ； Collaboration-Based ； Knowledge-Based ； Demographic ； Deep Learning ； Recommendation System Applications

International Journal of Electronic Commerce Studies

10卷1期（2019 / 06 / 01）

65 - 88

英文

Recommendation System (RS) gains considerable popularity from the past decade in E-Commerce and other allied fields. This paper investigates the various traditional Recommendation System like Content-based (CB), Collaboration Filtering-based (CF), Demographic-based, Knowledge-based and discussed current trends in recommendation system like location-aware, context-aware, and Deep Learning techniques. Various improvements and limitations in Recommendation systems have been listed out with evolution metrics for analyzing the accuracy of the algorithms. This paper well-elaborated for the past, present and future scope of the Recommendation System which would be useful for researchers to get familiarity with this domain.

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