A Developed Collaborative Filtering Similarity Method to Improve the Accuracy of Recommendations under Data Sparsity
This paper presented a new similarity method to improve the accuracy of traditional Collaborative Filtering (CF) method under sparse data issue. CF provides the user with items, that what they need, based on analyses the preferences of users who have a strong correlation to him/her preference. Howev...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Science and Information (SAI) Organization Limited
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21368/1/A%20Developed%20Collaborative%20Filtering%20Similarity-fskkp-2018.pdf http://umpir.ump.edu.my/id/eprint/21368/ http://dx.doi.org/10.14569/IJACSA.2018.090423 |
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| Institution: | Universiti Malaysia Pahang |
| Language: | English |