Quijano-Sanchez, Lara, Sauer, Christian, Recio Garcia, Juan Antonio and Diaz-Agudo, Belen (2017) Make it personal: a social explanation system applied to group recommendations. Expert Systems with Applications, 76. pp. 36-48. ISSN 0957-4174

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Abstract

Recommender systems help users to identify which items from a variety of choices best match their needs and preferences. In this context, explanations act as complementary information that can help users to better comprehend the system’s output and to encourage goals such as trust, confidence in decision-making or utility. In this paper we propose a Personalized Social Individual Explanation approach (PSIE). Unlike other expert systems the PSIE proposal novelly includes explanations about the system’s group recommendation and explanations about the group’s social reality with the goal of inducing a positive reaction that leads to a better perception of the received group recommendations. Among other challenges, we uncover a special need to focus on “tactful” explanations when addressing users’ personal relationships within a group and to focus on personalized reassuring explanations that encourage users to accept the presented recommendations. Besides, the resulting intelligent system significatively increases users’ intent (likelihood) to follow the recommendations, users’ satisfaction and the system’s efficiency and trustworthiness.

Item Type:	Article
Identifier:	10.1016/j.eswa.2017.01.045
Additional Information:	Social Explanations; Group Recommenders; Personalization; Social Networks; Personality; Tie Strength
Keywords:	© 2017 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects:	Computing > Innovation and user experience Computing > Intelligent systems Computing > Software engineering
Depositing User:	Christian Sauer
Date Deposited:	03 Feb 2017 11:55
Last Modified:	06 Feb 2024 15:51
URI:	https://repository.uwl.ac.uk/id/eprint/3095

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