BPRH : bayesian personalized ranking for heterogeneous implicit feedback
Personalized recommendation for online service systems aims to predict potential demand by analysing user preference. User preference can be inferred from heterogeneous implicit feedback (i.e. various user actions) especially when explicit feedback (i.e. ratings) is not available. However, most meth...
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| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/85173 http://hdl.handle.net/10220/49178 |
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| Institution: | Nanyang Technological University |
| Language: | English |