Recommendation systems: a review

This article presents an overview of recommendation systems and illustrates the present generation of recommendation techniques that are usually categorized into the following three main classes: Collaborative Filtering (CF), Content-Based Filtering (CBF), and Hybrid Recommendation approaches. This...

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Main Authors: Nabizadeh Rafsanjani, Amir Hossein, Salim, Naomie, Aghdam, Atae Rezaei, Fard, Karamollah Bagheri
Format: Article
Published: 2013
Online Access:http://eprints.utm.my/id/eprint/41051/
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Institution: Universiti Teknologi Malaysia
id my.utm.41051
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spelling my.utm.410512017-02-15T06:52:30Z http://eprints.utm.my/id/eprint/41051/ Recommendation systems: a review Nabizadeh Rafsanjani, Amir Hossein Salim, Naomie Aghdam, Atae Rezaei Fard, Karamollah Bagheri This article presents an overview of recommendation systems and illustrates the present generation of recommendation techniques that are usually categorized into the following three main classes: Collaborative Filtering (CF), Content-Based Filtering (CBF), and Hybrid Recommendation approaches. This paper also describes several weaknesses of current recommendation techniques 2013 Article PeerReviewed Nabizadeh Rafsanjani, Amir Hossein and Salim, Naomie and Aghdam, Atae Rezaei and Fard, Karamollah Bagheri (2013) Recommendation systems: a review. International Journal of Computational Engineering Research, 3 (5). pp. 47-52. ISSN 2278-5795
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
description This article presents an overview of recommendation systems and illustrates the present generation of recommendation techniques that are usually categorized into the following three main classes: Collaborative Filtering (CF), Content-Based Filtering (CBF), and Hybrid Recommendation approaches. This paper also describes several weaknesses of current recommendation techniques
format Article
author Nabizadeh Rafsanjani, Amir Hossein
Salim, Naomie
Aghdam, Atae Rezaei
Fard, Karamollah Bagheri
spellingShingle Nabizadeh Rafsanjani, Amir Hossein
Salim, Naomie
Aghdam, Atae Rezaei
Fard, Karamollah Bagheri
Recommendation systems: a review
author_facet Nabizadeh Rafsanjani, Amir Hossein
Salim, Naomie
Aghdam, Atae Rezaei
Fard, Karamollah Bagheri
author_sort Nabizadeh Rafsanjani, Amir Hossein
title Recommendation systems: a review
title_short Recommendation systems: a review
title_full Recommendation systems: a review
title_fullStr Recommendation systems: a review
title_full_unstemmed Recommendation systems: a review
title_sort recommendation systems: a review
publishDate 2013
url http://eprints.utm.my/id/eprint/41051/
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