Trust decomposition with classification in probabilistic matrix factorization for recommender systems
Trust has become more and more effective in the recommender system, which complements rating-based similarity to help to improve the final performance of rating prediction. However, trust cannot represent everything, e.g., trust may not prove that one will share the same preference on items. In m...
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| Format: | Thesis |
| Language: | English |
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2019
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| Online Access: | https://hdl.handle.net/10356/103417 http://hdl.handle.net/10220/48074 |