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Matching Users’ Preference under Target Revenue Constraints in Data Recommendation Systems
This paper focuses on the problem of finding a particular data recommendation strategy based on the user preference and a system expected revenue. To this end, we formulate this problem as an optimization by designing the recommendation mechanism as close to the user behavior as possible with a cert...
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| Publicat a: | Entropy (Basel) |
|---|---|
| Autors principals: | , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7838818/ https://ncbi.nlm.nih.gov/pubmed/33266920 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21020205 |
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