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 existing data.
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- Partial requirement for: M.S., Arizona State University, 2015Note typethesis
- Includes bibliographical references (page 27)Note typebibliography
- Field of study: Computer science