Carregant...
Fitxers
Tipus de document
ArticleVersió
Versió acceptadaData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/194426
Integrating a cognitive assistant within a critique-based recommender
Títol de la revista
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
Recommender systems are cognitive computing systems designed to support humans in their decision-making processes through convincing, timely product suggestions. In the field of recommender systems, critique-based recommenders have been widely applied as an effective approach for guiding users through a product space in pursuit of suitable products. To date, no critique-based approach has included an assistant that support users in their search in a pleasant way. In this paper, we describe how we integrate an assistant within a critique-based recommender. We consider the proposed assistant to be cognitive because its reasoning process when recommending products is based on a cognitively-inspired clustering algorithm. The proposal is evaluated by users and compared with a non-assistant approach. The results of this research demonstrate that the integration of a cognitive assistant within the recommender improves the user experience and increases the performance of the recommendation process, i.e., users need fewer cycles to achieve the desired product or service.
Citació
Citació
GÜELL, Marc, SALAMÓ LLORENTE, Maria, CONTRERAS, David, BORATTO, Ludovico. Integrating a cognitive assistant within a critique-based recommender. _Cognitive Systems Research_. 2020. Vol. 64, núm. 1-14. [consulta: 25 de gener de 2026]. ISSN: 1389-0417. [Disponible a: https://hdl.handle.net/2445/194426]