A Survey of Recommendation Systems-Reference-Cited by-同舟云学术

A Survey of Recommendation Systems

Published:2020-10 Issue:4 Volume:33 Page:53-73
ISSN:1040-1628
Container-title:Information Resources Management Journal
language:en
Short-container-title:

Author:

Malik Sushma¹,Rana Anamika²^ORCID,Bansal Mamta³

Affiliation:

1. Shobhit Institute of Engineering and Technology (Deemed to be University), Meerut, India

2. Maharaja Surajmal Institute of Technology, Delhi, India

3. Shobhit University, Meerut, India

Abstract

Today's internet is able to discover almost any product or piece of information. The large amounts of unfiltered information returned by an internet query calls for filters able to validate and rank the available options. Recommender systems (RSs) are a software tool designed to qualify the options available and make suggestions that align with the user's requirements and expectations. This paper reviews some significant applications of RSS in various areas like videos, music, eCommerce sites, news, and many more. It also reviews various filtering techniques like collaborative, content based, and hybrid.

Publisher

IGI Global

Subject

Library and Information Sciences,Strategy and Management,Business and International Management

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