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Integrating Collaboration and Leadership in Conversational Group Recommender Systems

Published: 17 August 2021 Publication History

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.

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cover image ACM Transactions on Information Systems
ACM Transactions on Information Systems  Volume 39, Issue 4
October 2021
482 pages
ISSN:1046-8188
EISSN:1558-2868
DOI:10.1145/3477247
Issue’s Table of Contents
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Publication History

Published: 17 August 2021
Accepted: 01 April 2021
Revised: 01 March 2021
Received: 01 May 2020
Published in TOIS Volume 39, Issue 4

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Author Tags

  1. Group recommendation
  2. interactions
  3. collaboration
  4. leadership
  5. live-user evaluation

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  • Refereed

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  • MISMIS-LANGUAGE
  • Spanish Ministry of Science and Innovation, NanoMoocs

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