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A Survey on Recommendation Techniques in Numerous Domains

by Gourav Jain, Nishchol Mishra, Sanjeev Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 25
Year of Publication: 2013
Authors: Gourav Jain, Nishchol Mishra, Sanjeev Sharma
10.5120/11745-7379

Gourav Jain, Nishchol Mishra, Sanjeev Sharma . A Survey on Recommendation Techniques in Numerous Domains. International Journal of Computer Applications. 67, 25 ( April 2013), 26-30. DOI=10.5120/11745-7379

@article{ 10.5120/11745-7379,
author = { Gourav Jain, Nishchol Mishra, Sanjeev Sharma },
title = { A Survey on Recommendation Techniques in Numerous Domains },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 25 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number25/11745-7379/ },
doi = { 10.5120/11745-7379 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:26:26.205825+05:30
%A Gourav Jain
%A Nishchol Mishra
%A Sanjeev Sharma
%T A Survey on Recommendation Techniques in Numerous Domains
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 25
%P 26-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the increase in the amount of information available on the internet, there is a challenge of providing relevant and useful information to the interesting users on the basis of their interest although when user wants to search data of their interest, they have to search in whole databases, which is very tedious and time consuming too. So a system is needed which provide useful information based on user interest named Recommendation System. A Recommendation System is a sturdy and valuable tool used for decision making and provides a ranking of the most popular items based on user preference. Various algorithms were proposed by different researchers for recommendation of web pages, items, movie, video etc. This paper gives us a snapshot of latest work accomplished in the field of recommendation.

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Index Terms

Computer Science
Information Sciences

Keywords

Collaborative Filtering LDA Naive Bayes ERPM TyCo

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