Using community preference for overcoming sparsity and cold-start problems in collaborative filtering system offering soft ratings
© 2017 Elsevier B.V. This paper introduces a new collaborative filtering recommender system that is capable of offering soft ratings as well as integrating with a social network containing all users. Offering soft ratings is known as a new methodology for modeling subjective, qualitative, and imperf...
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| Main Authors: | , , |
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| Format: | Journal |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85032000382&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56854 |
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| Institution: | Chiang Mai University |