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A Review on: Designing a Recommender System Using Sequential Logs


A Review on: Designing a Recommender System Using Sequential Logs
Authors : Anupama Patel, Santosh K. Vishwakarma
Publication Date: 29-09-2017

Authors

Author(s):  Anupama Patel, Santosh K. Vishwakarma

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 09 , September - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS090171

Abstract

Recommender system has change the way of searching for information over the internet. The information over the internet is overburden. The searching for specific information sometimes becomes very time consuming. Today in the fast growing world no one wants to wait everyone wants o work fast. This in result has increased the competition for achieving success. So it is very necessary to save time in searching information. Recommender system is solution for the problem by providing recommendation to the users. This paper has discussed about the types of recommender system like collaborative filtering, content based filtering and hybrid filtering along with the challenges of recommendation system. The paper has also discussed about the sequential information of user behavior which is stored in the web servers. In this paper only the idea is being discussed.

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