A comparative analysis of recommender systems based on item aspect opinions extracted from user reviews
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/692307 |
| Acceso en línea: | http://hdl.handle.net/10486/692307 https://dx.doi.org/10.1007/s11257-018-9214-9 |
| Access Level: | acceso abierto |
| Palabra clave: | Recommender Systems Aspect-based recommendation Sentiment analysis Opinion mining Aspect extraction User reviews Informática |
| Sumario: | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11257-018-9214-9 |
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