Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias
In the world of Big Data, a tool capable of filtering data and providing choice support is crucial. Recommender Systems have this aim. These have evolved further through the use of information that would improve the ability to suggest. Among the possible exploited information, the context is widely...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/7/1003 |
| _version_ | 1797439856562929664 |
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| author | Mario Casillo Brij B. Gupta Marco Lombardi Angelo Lorusso Domenico Santaniello Carmine Valentino |
| author_facet | Mario Casillo Brij B. Gupta Marco Lombardi Angelo Lorusso Domenico Santaniello Carmine Valentino |
| author_sort | Mario Casillo |
| collection | DOAJ |
| description | In the world of Big Data, a tool capable of filtering data and providing choice support is crucial. Recommender Systems have this aim. These have evolved further through the use of information that would improve the ability to suggest. Among the possible exploited information, the context is widely used in literature and leads to the definition of the Context-Aware Recommender System. This paper proposes a Context-Aware Recommender System based on the concept of embedded context. This technique has been tested on different datasets to evaluate its accuracy. In particular, the use of multiple datasets allows a deep analysis of the advantages and disadvantages of the proposed approach. The numerical results obtained are promising. |
| first_indexed | 2024-03-09T11:58:45Z |
| format | Article |
| id | doaj.art-9a9b2ee46d9c4983b6e8a220623c1012 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T11:58:45Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-9a9b2ee46d9c4983b6e8a220623c10122023-11-30T23:06:02ZengMDPI AGElectronics2079-92922022-03-01117100310.3390/electronics11071003Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual BiasMario Casillo0Brij B. Gupta1Marco Lombardi2Angelo Lorusso3Domenico Santaniello4Carmine Valentino5Department of Industrial Engineering, University of Salerno, 84084 Fisciano, ItalyDepartment of Computer Science and Information Engineering, Asia University, Taichung 413, TaiwanDepartment of Industrial Engineering, University of Salerno, 84084 Fisciano, ItalyDepartment of Industrial Engineering, University of Salerno, 84084 Fisciano, ItalyDepartment of Industrial Engineering, University of Salerno, 84084 Fisciano, ItalyDepartment of Industrial Engineering, University of Salerno, 84084 Fisciano, ItalyIn the world of Big Data, a tool capable of filtering data and providing choice support is crucial. Recommender Systems have this aim. These have evolved further through the use of information that would improve the ability to suggest. Among the possible exploited information, the context is widely used in literature and leads to the definition of the Context-Aware Recommender System. This paper proposes a Context-Aware Recommender System based on the concept of embedded context. This technique has been tested on different datasets to evaluate its accuracy. In particular, the use of multiple datasets allows a deep analysis of the advantages and disadvantages of the proposed approach. The numerical results obtained are promising.https://www.mdpi.com/2079-9292/11/7/1003recommender systemscontext-awarenessmatrix factorization |
| spellingShingle | Mario Casillo Brij B. Gupta Marco Lombardi Angelo Lorusso Domenico Santaniello Carmine Valentino Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias Electronics recommender systems context-awareness matrix factorization |
| title | Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias |
| title_full | Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias |
| title_fullStr | Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias |
| title_full_unstemmed | Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias |
| title_short | Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual Bias |
| title_sort | context aware recommender systems a novel approach based on matrix factorization and contextual bias |
| topic | recommender systems context-awareness matrix factorization |
| url | https://www.mdpi.com/2079-9292/11/7/1003 |
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