AgeTrust: a new temporal trust-based collaborative filtering approach

Recommender systems are useful techniques for solving the problem of information overload. Collaborative Filtering (CF) is the most successful approach for recommendation. This approach focuses on previous indicate preferences which is known for its traditional problems such as cold-start, sparsity...

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Main Authors: Moghaddam, Morteza Ghorbani, Mustapha, Norwati, Mustapha, Aida, Mohd Sharef, Nurfadhlina, Elahian, Anousheh
Format: Conference or Workshop Item
Published: IEEE (IEEE Xplore) 2014
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author Moghaddam, Morteza Ghorbani
Mustapha, Norwati
Mustapha, Aida
Mohd Sharef, Nurfadhlina
Elahian, Anousheh
author_facet Moghaddam, Morteza Ghorbani
Mustapha, Norwati
Mustapha, Aida
Mohd Sharef, Nurfadhlina
Elahian, Anousheh
author_sort Moghaddam, Morteza Ghorbani
collection UPM
description Recommender systems are useful techniques for solving the problem of information overload. Collaborative Filtering (CF) is the most successful approach for recommendation. This approach focuses on previous indicate preferences which is known for its traditional problems such as cold-start, sparsity and hacking. For solving the problem of hacking and improving the accuracy, trust-based CF methods have been proposed previously. These methods focused on trust values among the users. Nonetheless, most existing approaches use trust as a factor independent from time which we think that trust value between users is dynamic; hence it change over time. For this reason, we used friendship time and proposed a novel temporal-trust based approach called AgeTrust to measure trust value. To validate the proposed approach, we used Delicious data set and compared our approach with two other traditional trust-based approaches: traditional CF and FriendshipTrust. Result shows that our proposed approach outperforms the traditional approaches.
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format Conference or Workshop Item
id upm.eprints-40305
institution Universiti Putra Malaysia
last_indexed 2024-03-06T08:46:41Z
publishDate 2014
publisher IEEE (IEEE Xplore)
record_format dspace
spelling upm.eprints-403052015-09-02T09:01:35Z http://psasir.upm.edu.my/id/eprint/40305/ AgeTrust: a new temporal trust-based collaborative filtering approach Moghaddam, Morteza Ghorbani Mustapha, Norwati Mustapha, Aida Mohd Sharef, Nurfadhlina Elahian, Anousheh Recommender systems are useful techniques for solving the problem of information overload. Collaborative Filtering (CF) is the most successful approach for recommendation. This approach focuses on previous indicate preferences which is known for its traditional problems such as cold-start, sparsity and hacking. For solving the problem of hacking and improving the accuracy, trust-based CF methods have been proposed previously. These methods focused on trust values among the users. Nonetheless, most existing approaches use trust as a factor independent from time which we think that trust value between users is dynamic; hence it change over time. For this reason, we used friendship time and proposed a novel temporal-trust based approach called AgeTrust to measure trust value. To validate the proposed approach, we used Delicious data set and compared our approach with two other traditional trust-based approaches: traditional CF and FriendshipTrust. Result shows that our proposed approach outperforms the traditional approaches. IEEE (IEEE Xplore) 2014 Conference or Workshop Item NonPeerReviewed Moghaddam, Morteza Ghorbani and Mustapha, Norwati and Mustapha, Aida and Mohd Sharef, Nurfadhlina and Elahian, Anousheh (2014) AgeTrust: a new temporal trust-based collaborative filtering approach. In: 2014 International Conference on Information Science and Applications (ICISA), 6-9 May 2014, Seoul, Korea. (pp. 1-4). 10.1109/ICISA.2014.6847352
spellingShingle Moghaddam, Morteza Ghorbani
Mustapha, Norwati
Mustapha, Aida
Mohd Sharef, Nurfadhlina
Elahian, Anousheh
AgeTrust: a new temporal trust-based collaborative filtering approach
title AgeTrust: a new temporal trust-based collaborative filtering approach
title_full AgeTrust: a new temporal trust-based collaborative filtering approach
title_fullStr AgeTrust: a new temporal trust-based collaborative filtering approach
title_full_unstemmed AgeTrust: a new temporal trust-based collaborative filtering approach
title_short AgeTrust: a new temporal trust-based collaborative filtering approach
title_sort agetrust a new temporal trust based collaborative filtering approach
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