Normalization-based neighborhood model for cold start problem in recommendation system

Existing approaches for Recommendation Systems (RS) are mainly based on users’ past knowledge and the more popular techniques such as the neighborhood models focus on finding similar users in making recommendations. The cold start problem is due to inaccurate recommendations given to new users becau...

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Main Authors: Zahid, Aafaq, Mohd Sharef, Nurfadhlina, Mustapha, Aida
Format: Article
Language:English
Published: Zarqa University 2020
Online Access:http://psasir.upm.edu.my/id/eprint/86921/
http://psasir.upm.edu.my/id/eprint/86921/1/Normalization-based%20neighborhood.pdf
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author Zahid, Aafaq
Mohd Sharef, Nurfadhlina
Mustapha, Aida
author_facet Zahid, Aafaq
Mohd Sharef, Nurfadhlina
Mustapha, Aida
author_sort Zahid, Aafaq
building UPM Institutional Repository
collection Online Access
description Existing approaches for Recommendation Systems (RS) are mainly based on users’ past knowledge and the more popular techniques such as the neighborhood models focus on finding similar users in making recommendations. The cold start problem is due to inaccurate recommendations given to new users because of lack of past data related to those users. To deal with such cases where prior information on the new user is not available, this paper proposes a normalization technique to model user involvement for cold start problem or user likings based on the details of items used in the neighborhood models. The proposed normalization technique was evaluated using two datasets namely MovieLens and GroupLens. The results showed that the proposed technique is able to improve the accuracy of the neighborhood model, which in turn increases the accuracy of an RS.
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spelling upm-869212022-01-05T08:35:27Z http://psasir.upm.edu.my/id/eprint/86921/ Normalization-based neighborhood model for cold start problem in recommendation system Zahid, Aafaq Mohd Sharef, Nurfadhlina Mustapha, Aida Existing approaches for Recommendation Systems (RS) are mainly based on users’ past knowledge and the more popular techniques such as the neighborhood models focus on finding similar users in making recommendations. The cold start problem is due to inaccurate recommendations given to new users because of lack of past data related to those users. To deal with such cases where prior information on the new user is not available, this paper proposes a normalization technique to model user involvement for cold start problem or user likings based on the details of items used in the neighborhood models. The proposed normalization technique was evaluated using two datasets namely MovieLens and GroupLens. The results showed that the proposed technique is able to improve the accuracy of the neighborhood model, which in turn increases the accuracy of an RS. Zarqa University 2020-05 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86921/1/Normalization-based%20neighborhood.pdf Zahid, Aafaq and Mohd Sharef, Nurfadhlina and Mustapha, Aida (2020) Normalization-based neighborhood model for cold start problem in recommendation system. International Arab Journal of Information Technology, 17 (3). 281 - 289. ISSN 2309-4524 https://iajit.org/portal/index.php/archive/volume-17-2020/may-2020-no-3/item/180-normalization-based-neighborhood-model-for-cold-start-problem-in-recommendation-system 10.34028/iajit/17/3/1
spellingShingle Zahid, Aafaq
Mohd Sharef, Nurfadhlina
Mustapha, Aida
Normalization-based neighborhood model for cold start problem in recommendation system
title Normalization-based neighborhood model for cold start problem in recommendation system
title_full Normalization-based neighborhood model for cold start problem in recommendation system
title_fullStr Normalization-based neighborhood model for cold start problem in recommendation system
title_full_unstemmed Normalization-based neighborhood model for cold start problem in recommendation system
title_short Normalization-based neighborhood model for cold start problem in recommendation system
title_sort normalization-based neighborhood model for cold start problem in recommendation system
url http://psasir.upm.edu.my/id/eprint/86921/
http://psasir.upm.edu.my/id/eprint/86921/
http://psasir.upm.edu.my/id/eprint/86921/
http://psasir.upm.edu.my/id/eprint/86921/1/Normalization-based%20neighborhood.pdf