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Why Did Naethan Pick Android over Apple? Exploiting Trade-offs in Learning User Preferences
, Sekar A., Ganesan D.
Published in Springer Verlag
Volume: 11156 LNAI
Pages: 354 - 368
When case-based recommender systems use preference-based feedback, we can learn user preferences by using the trade-off relations between the preferred product and the other products in the given domain. In this work, we propose a representation for trade-offs and motivate several mechanisms by which the identified trade-offs can be used in the process of recommendation. We empirically demonstrate the effectiveness of the proposed approaches in three recommendation domains. © 2018, Springer Nature Switzerland AG.
About the journal
JournalData powered by TypesetLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherData powered by TypesetSpringer Verlag
Open AccessNo