Exploiting side information for effective recommendation
Recommender systems have become an essential tool in online applications to help alleviate the information overload problem. Much research effort has been devoted to traditional collaborative filtering (CF), which, however, suffers from the data sparsity and cold start problems. To ease these issues...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/155781 |
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| Institution: | Nanyang Technological University |
| Language: | English |