Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/194386
Title: | Integrating Collaboration and Leadership in Conversational Group Recommender Systems |
Author: | Contreras, David Salamó Llorente, Maria Boratto, Ludovico |
Keywords: | Aprenentatge automàtic Intel·ligència artificial Sistemes d'ajuda a la decisió Sistemes d'informació Interacció persona-ordinador Machine learning Artificial intelligence Decision support systems Information storage and retrieval systems Human-computer interaction |
Issue Date: | Aug-2021 |
Publisher: | Association for Computing Machinery |
Abstract: | Recent observational studies highlight the importance of considering the interactions between users in the group recommendation process, but to date their integration has been marginal. In this article, we propose a collaborative model based on the social interactions that take place in a web-based conversational group recommender system. The collaborative model allows the group recommender to implicitly infer the different roles within the group, namely, collaborative and leader user(s). Moreover, it serves as the basis of several novel collaboration-based consensus strategies that integrate both individual and social interactions in the group recommendation process. A live-user evaluation confirms that our approach accurately identifies the collaborative and leader users in a group and produces more effective recommendations. |
Note: | Versió postprint del document publicat a: https://doi.org/10.1145/3462759 |
It is part of: | ACM Transactions on Information Systems, 2021, vol. 39, num. 4, p. 1-32 |
URI: | http://hdl.handle.net/2445/194386 |
Related resource: | https://doi.org/10.1145/3462759 |
ISSN: | 1046-8188 |
Appears in Collections: | Articles publicats en revistes (Matemàtiques i Informàtica) |
Files in This Item:
File | Description | Size | Format | |
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714031.pdf | 2.18 MB | Adobe PDF | View/Open |
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