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Properties of Context-Aware Recommender Systems: A Survey

by Fateme Keikha, Mahdi Heidari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 5
Year of Publication: 2015
Authors: Fateme Keikha, Mahdi Heidari
10.5120/ijca2015906379

Fateme Keikha, Mahdi Heidari . Properties of Context-Aware Recommender Systems: A Survey. International Journal of Computer Applications. 127, 5 ( October 2015), 9-13. DOI=10.5120/ijca2015906379

@article{ 10.5120/ijca2015906379,
author = { Fateme Keikha, Mahdi Heidari },
title = { Properties of Context-Aware Recommender Systems: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 5 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number5/22723-2015906379/ },
doi = { 10.5120/ijca2015906379 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:19:04.585027+05:30
%A Fateme Keikha
%A Mahdi Heidari
%T Properties of Context-Aware Recommender Systems: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 5
%P 9-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recommender systems provide personalized recommendation for their users. These systems are still needed to be optimized to provide more effective recommendations. In some models the context of user and the item is considered during the recommendation process so that it would be possible to make a better estimation of the user's rating. In this article context aware recommender models are addressed. Also the properties of each one of these systems are specified based on the general characteristics of the context aware recommender systems. Finally a general comparison of the level of utilization of these characteristics in the context aware models is done.

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Index Terms

Computer Science
Information Sciences

Keywords

Recommendation system Social network Context awareness

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