Learning and exploiting context dependencies for robust recommendations
We consider the recommendation problem, where a set of available items or choices are rated and recommended to users accordingly. Over and above the ratings information used in traditional filtering algorithms, the context of the user-recommender interaction is used to improve the recommendation...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2010
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Online Access: | https://hdl.handle.net/10356/41737 |
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Institution: | Nanyang Technological University |
Language: | English |
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