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How to deal with negative preferences in recommender systems: a theoretical framework
Negative information plays an important role in the way we express our preferences and desires. However, it has not received the same attention as positive feedback in recommender systems. Here we show how negative user preferences can be exploited to generate recommendations. We rely on a logical s...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038518/ https://www.ncbi.nlm.nih.gov/pubmed/35498370 http://dx.doi.org/10.1007/s10844-022-00705-9 |