Adaptive Sampling and Learning in Recommendation Systems
abstract: This thesis studies recommendation systems and considers joint sampling and learning. Sampling in recommendation systems is to obtain users' ratings on specific items chosen by the recommendation platform, and learning is to infer the unknown ratings of users to items given the existi...
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| Format: | Dissertation |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/2286/R.I.36430 |