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http://hdl.handle.net/2445/194426
Title: | Integrating a cognitive assistant within a critique-based recommender |
Author: | Güell, Marc Salamó Llorente, Maria Contreras, David Boratto, Ludovico |
Keywords: | Sistemes d'ajuda a la decisió Intel·ligència artificial Tractament del llenguatge natural (Informàtica) Decision support systems Artificial intelligence Natural language processing (Computer science) |
Issue Date: | Dec-2020 |
Publisher: | Elsevier B.V. |
Abstract: | 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. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1016/j.cogsys.2020.07.003 |
It is part of: | Cognitive Systems Research, 2020, vol. 64, p. 1-14 |
URI: | http://hdl.handle.net/2445/194426 |
Related resource: | https://doi.org/10.1016/j.cogsys.2020.07.003 |
ISSN: | 1389-0417 |
Appears in Collections: | Articles publicats en revistes (Matemàtiques i Informàtica) |
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