A novel temporal trust-based recommender system
While Collaborative Filtering (CF) recommender systems, which focus on previous indicate preferences, are known for their traditional problems such as cold-start, sparsity and modest accuracy, trust-based CF has been previously proposed to solve such issues by focusing on trust values among the user...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/44696/1/A%20novel%20temporal%20trust-based%20recommender%20system.pdf |
| _version_ | 1796974514461999104 |
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| author | Moghaddam, Morteza Ghorbani Elahian, Anousheh |
| author_facet | Moghaddam, Morteza Ghorbani Elahian, Anousheh |
| author_sort | Moghaddam, Morteza Ghorbani |
| collection | UPM |
| description | While Collaborative Filtering (CF) recommender systems, which focus on previous indicate preferences, are known for their traditional problems such as cold-start, sparsity and modest accuracy, trust-based CF has been previously proposed to solve such issues by focusing on trust values among the users. Nonetheless, most existing approaches use trust as an independent factor from time, in this paper we argue that trust value between users is dynamic; hence it change over time. For this reason we propose a novel temporal-trust based approach to calculate trust values aware of time of friendship. To validate the proposed approach in this paper, we used Delicious data set and compared our approach with traditional CF and trust-based approaches. Results showed that accuracy of proposed approach overcomes the traditional approaches. |
| first_indexed | 2024-03-06T08:58:09Z |
| format | Conference or Workshop Item |
| id | upm.eprints-44696 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:58:09Z |
| publishDate | 2014 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-446962020-08-04T02:29:51Z http://psasir.upm.edu.my/id/eprint/44696/ A novel temporal trust-based recommender system Moghaddam, Morteza Ghorbani Elahian, Anousheh While Collaborative Filtering (CF) recommender systems, which focus on previous indicate preferences, are known for their traditional problems such as cold-start, sparsity and modest accuracy, trust-based CF has been previously proposed to solve such issues by focusing on trust values among the users. Nonetheless, most existing approaches use trust as an independent factor from time, in this paper we argue that trust value between users is dynamic; hence it change over time. For this reason we propose a novel temporal-trust based approach to calculate trust values aware of time of friendship. To validate the proposed approach in this paper, we used Delicious data set and compared our approach with traditional CF and trust-based approaches. Results showed that accuracy of proposed approach overcomes the traditional approaches. IEEE 2014 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/44696/1/A%20novel%20temporal%20trust-based%20recommender%20system.pdf Moghaddam, Morteza Ghorbani and Elahian, Anousheh (2014) A novel temporal trust-based recommender system. In: 22nd Iranian Conference on Electrical Engineering (ICEE 2014), 20-22 May 2014, Shahid Beheshti University, Tehran, Iran. (pp. 1142-1146). 10.1109/IranianCEE.2014.6999707 |
| spellingShingle | Moghaddam, Morteza Ghorbani Elahian, Anousheh A novel temporal trust-based recommender system |
| title | A novel temporal trust-based recommender system |
| title_full | A novel temporal trust-based recommender system |
| title_fullStr | A novel temporal trust-based recommender system |
| title_full_unstemmed | A novel temporal trust-based recommender system |
| title_short | A novel temporal trust-based recommender system |
| title_sort | novel temporal trust based recommender system |
| url | http://psasir.upm.edu.my/id/eprint/44696/1/A%20novel%20temporal%20trust-based%20recommender%20system.pdf |
| work_keys_str_mv | AT moghaddammortezaghorbani anoveltemporaltrustbasedrecommendersystem AT elahiananousheh anoveltemporaltrustbasedrecommendersystem AT moghaddammortezaghorbani noveltemporaltrustbasedrecommendersystem AT elahiananousheh noveltemporaltrustbasedrecommendersystem |