Publication: Knowledgeable Explanations for Recommen...
Master data
Title: | Knowledgeable Explanations for Recommender Systems |
Subtitle: | |
Abstract: | Recommender Systems (RS) serve online customers in identifying those items from a variety of choices that best match their needs and preferences. In this context ecplanations summarize the reasons why a specific item is proposed and strongly increase the users' trust in the system's results. In this paper we propose a framework for generating knowledgeable explanations that exploits domain knowledge to transparently argue why a recommended item matches the users' preferences. Furthermore, results of an online experiment on a real-world platform show, that users' perception of the usability of a recommender system is positively influenced by knowledgeable explanations and that consequently users' experience in interacting with the system, their intention to use it repeatedly as well as their commitment to recommend it to others are increased. |
Keywords: |
Publication type: | Article in compilation (Authorship) |
Publication date: | 2010 (Print) |
Published by: |
Proceedings of the Web Intelligence and Intelligent Agent Technology
Proceedings of the Web Intelligence and Intelligent Agent Technology
(
IEEE;
International Conference on Web Intelligence and Intelligent Agent Technology
)
to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Page: | pp. 657 - 660 |
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Publication date: | 2010 |
ISBN: |
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ISSN: | - |
Homepage: | - |
Assignment
Organisation | Address | ||||
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
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Fakultät für Wirtschafts- und Rechtswissenschaften
Institut für Innovationsmanagement und Unternehmensgründung
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AT - 9020 Klagenfurt |
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