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Reseach Article

Context based Recommendation Methods: A Brief Review

Published on January 2018 by Arati R. Deshpande, Emmanuel M.
International Conference on Cognitive Knowledge Engineering
Foundation of Computer Science USA
ICKE2016 - Number 1
January 2018
Authors: Arati R. Deshpande, Emmanuel M.
2907b4d9-77c7-4a55-ac9b-ceccd235d857

Arati R. Deshpande, Emmanuel M. . Context based Recommendation Methods: A Brief Review. International Conference on Cognitive Knowledge Engineering. ICKE2016, 1 (January 2018), 13-19.

@article{
author = { Arati R. Deshpande, Emmanuel M. },
title = { Context based Recommendation Methods: A Brief Review },
journal = { International Conference on Cognitive Knowledge Engineering },
issue_date = { January 2018 },
volume = { ICKE2016 },
number = { 1 },
month = { January },
year = { 2018 },
issn = 0975-8887,
pages = { 13-19 },
numpages = 7,
url = { /proceedings/icke2016/number1/28943-6008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Cognitive Knowledge Engineering
%A Arati R. Deshpande
%A Emmanuel M.
%T Context based Recommendation Methods: A Brief Review
%J International Conference on Cognitive Knowledge Engineering
%@ 0975-8887
%V ICKE2016
%N 1
%P 13-19
%D 2018
%I International Journal of Computer Applications
Abstract

Recommendation systems consist of methods for recommending products or any items that are of interest to users in web applications for personalized experience. The recommendation helps the users to reduce the time and complexity of searching for the required information. The recommendation methods use the information of users and items as well as users' past history of interaction to suggest preferred items. The context based methods use the situation about the user, item or interaction to give recommendations to users. Currently with the growth of techniques in acquiring the information of interaction of users with the system, the context based methods for recommendation improve the quality of recommendation. A brief review of the approaches and methods for context based recommendation is presented here with the challenges and future directions.

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Index Terms

Computer Science
Information Sciences

Keywords

Recommendation Systems Context Aware Pre And Post Filtering Contextual Model