Conversational recommendation based on end-to-end learning: How far are we?
Conversational recommender systems (CRS) are software agents that support users in their decision-making process in an interactive way. While such systems were traditionally mostly manually engineered, recent works increasingly rely on machine learning models that are trained on larger corpora of re...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/3ec5dc2810de48008678313db4da4c0a |
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