Enhancing multi-aspect collaborative filtering for personalized recommendation
Most existing Collaborative Filtering (CF) approach relies on single overall ratings assigned to items. However, to precisely understand users' behaviours, sometimes this rating alone is not adequate. A user may show his/her overall preferences on an item through the overall ratings but at the...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/68926/ http://psasir.upm.edu.my/id/eprint/68926/1/Enhancing%20multi-aspect%20collaborative%20filtering%20for%20personalized%20recommendation.pdf |
| _version_ | 1848856265004941312 |
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| author | Khairudin, Nurkhairizan Mohd Sharef, Nurfadhlina Mustapha, Norwati Mohd Noah, Shahrul Azman |
| author_facet | Khairudin, Nurkhairizan Mohd Sharef, Nurfadhlina Mustapha, Norwati Mohd Noah, Shahrul Azman |
| author_sort | Khairudin, Nurkhairizan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Most existing Collaborative Filtering (CF) approach relies on single overall ratings assigned to items. However, to precisely understand users' behaviours, sometimes this rating alone is not adequate. A user may show his/her overall preferences on an item through the overall ratings but at the same time, they may not satisfy with certain aspects of the item. This situation happened due to the emphasis on aspects may be different among users and will affect a user's final decisions. Therefore, in this paper, we proposed the multi-aspect tensor factorization (MATF) to enhance the predictive accuracy of multi-aspect recommendation by using Tensor Factorization. The evaluation shows that the proposed model outperforms various well-known existing techniques on both single and multi-criteria recommendation. |
| first_indexed | 2025-11-15T11:38:54Z |
| format | Conference or Workshop Item |
| id | upm-68926 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:38:54Z |
| publishDate | 2018 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-689262020-05-25T01:49:11Z http://psasir.upm.edu.my/id/eprint/68926/ Enhancing multi-aspect collaborative filtering for personalized recommendation Khairudin, Nurkhairizan Mohd Sharef, Nurfadhlina Mustapha, Norwati Mohd Noah, Shahrul Azman Most existing Collaborative Filtering (CF) approach relies on single overall ratings assigned to items. However, to precisely understand users' behaviours, sometimes this rating alone is not adequate. A user may show his/her overall preferences on an item through the overall ratings but at the same time, they may not satisfy with certain aspects of the item. This situation happened due to the emphasis on aspects may be different among users and will affect a user's final decisions. Therefore, in this paper, we proposed the multi-aspect tensor factorization (MATF) to enhance the predictive accuracy of multi-aspect recommendation by using Tensor Factorization. The evaluation shows that the proposed model outperforms various well-known existing techniques on both single and multi-criteria recommendation. IEEE 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68926/1/Enhancing%20multi-aspect%20collaborative%20filtering%20for%20personalized%20recommendation.pdf Khairudin, Nurkhairizan and Mohd Sharef, Nurfadhlina and Mustapha, Norwati and Mohd Noah, Shahrul Azman (2018) Enhancing multi-aspect collaborative filtering for personalized recommendation. In: 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP'18), 26-28 Mar. 2018, Le Méridien Kota Kinabalu, Sabah, Malaysia. (pp. 91-96). 10.1109/INFRKM.2018.8464760 |
| spellingShingle | Khairudin, Nurkhairizan Mohd Sharef, Nurfadhlina Mustapha, Norwati Mohd Noah, Shahrul Azman Enhancing multi-aspect collaborative filtering for personalized recommendation |
| title | Enhancing multi-aspect collaborative filtering for personalized recommendation |
| title_full | Enhancing multi-aspect collaborative filtering for personalized recommendation |
| title_fullStr | Enhancing multi-aspect collaborative filtering for personalized recommendation |
| title_full_unstemmed | Enhancing multi-aspect collaborative filtering for personalized recommendation |
| title_short | Enhancing multi-aspect collaborative filtering for personalized recommendation |
| title_sort | enhancing multi-aspect collaborative filtering for personalized recommendation |
| url | http://psasir.upm.edu.my/id/eprint/68926/ http://psasir.upm.edu.my/id/eprint/68926/ http://psasir.upm.edu.my/id/eprint/68926/1/Enhancing%20multi-aspect%20collaborative%20filtering%20for%20personalized%20recommendation.pdf |