Collaborative Filtering Recommender System: Overview and Challenges

Collaborative Filtering Recommender System: Overview and Challenges

This paper is to present an overview of Collaborative Filtering (CF) recommender system and show the major CF challenges. In general, the recommendation systems are the best way to help users to overcome the information overload issue. The CF approach is one of the most widely used and most successf...

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Main Authors: Al-Bashiri, Hael, Abdulgabber, Mansoor Abdullateef, Awanis, Romli, Hujainah, Fadhl
Format: Article
Language:English
Published: Publishing Technology 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/20906/
http://umpir.ump.edu.my/id/eprint/20906/
http://umpir.ump.edu.my/id/eprint/20906/
http://umpir.ump.edu.my/id/eprint/20906/1/Collaborative%20Filtering%20Recommender%20System%20Overview%20and%20Challenges1.pdf
id ump-20906
recordtype eprints
spelling ump-209062019-10-18T02:32:36Z http://umpir.ump.edu.my/id/eprint/20906/ Collaborative Filtering Recommender System: Overview and Challenges Al-Bashiri, Hael Abdulgabber, Mansoor Abdullateef Awanis, Romli Hujainah, Fadhl QA75 Electronic computers. Computer science This paper is to present an overview of Collaborative Filtering (CF) recommender system and show the major CF challenges. In general, the recommendation systems are the best way to help users to overcome the information overload issue. The CF approach is one of the most widely used and most successful methods in the recommendation system, such as e-commerce. This paper introduced a brief description about recommender’s approaches which are: content-Based, collaborative filtering and hybrid approach. Next, defined the main challenges which have clearly impact on the performance and accuracy of CF recommender system. The major finding of this paper is the CF main problems: Data sparsity, Cold-star, and Scalability. By presenting of these challenges the quality of recommendations can be improved by proposing new methods. The paper ends with conclusion summarizes the limitations of the existing methods and recommendations. Publishing Technology 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/20906/1/Collaborative%20Filtering%20Recommender%20System%20Overview%20and%20Challenges1.pdf Al-Bashiri, Hael and Abdulgabber, Mansoor Abdullateef and Awanis, Romli and Hujainah, Fadhl (2017) Collaborative Filtering Recommender System: Overview and Challenges. Advanced Science Letters, 23 (9). pp. 9045-9049. ISSN 1936-6612 https://doi.org/10.1166/asl.2017.10020 DOI: 10.1166/asl.2017.10020
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Al-Bashiri, Hael
Abdulgabber, Mansoor Abdullateef
Awanis, Romli
Hujainah, Fadhl
Collaborative Filtering Recommender System: Overview and Challenges
description This paper is to present an overview of Collaborative Filtering (CF) recommender system and show the major CF challenges. In general, the recommendation systems are the best way to help users to overcome the information overload issue. The CF approach is one of the most widely used and most successful methods in the recommendation system, such as e-commerce. This paper introduced a brief description about recommender’s approaches which are: content-Based, collaborative filtering and hybrid approach. Next, defined the main challenges which have clearly impact on the performance and accuracy of CF recommender system. The major finding of this paper is the CF main problems: Data sparsity, Cold-star, and Scalability. By presenting of these challenges the quality of recommendations can be improved by proposing new methods. The paper ends with conclusion summarizes the limitations of the existing methods and recommendations.
format Article
author Al-Bashiri, Hael
Abdulgabber, Mansoor Abdullateef
Awanis, Romli
Hujainah, Fadhl
author_facet Al-Bashiri, Hael
Abdulgabber, Mansoor Abdullateef
Awanis, Romli
Hujainah, Fadhl
author_sort Al-Bashiri, Hael
title Collaborative Filtering Recommender System: Overview and Challenges
title_short Collaborative Filtering Recommender System: Overview and Challenges
title_full Collaborative Filtering Recommender System: Overview and Challenges
title_fullStr Collaborative Filtering Recommender System: Overview and Challenges
title_full_unstemmed Collaborative Filtering Recommender System: Overview and Challenges
title_sort collaborative filtering recommender system: overview and challenges
publisher Publishing Technology
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/20906/
http://umpir.ump.edu.my/id/eprint/20906/
http://umpir.ump.edu.my/id/eprint/20906/
http://umpir.ump.edu.my/id/eprint/20906/1/Collaborative%20Filtering%20Recommender%20System%20Overview%20and%20Challenges1.pdf
first_indexed 2023-09-18T22:30:25Z
last_indexed 2023-09-18T22:30:25Z
_version_ 1777416248655609856

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