http://dx.doi.org/10.1145/1639714.1639754">
 

Document Type

Conference Paper

Authors

Li ChenFollow

Department/Unit

Department of Computer Science

Title

Adaptive tradeoff explanations in conversational recommenders

Language

English

Abstract

The completeness and certainty of a user's preferences may vary during her preference construction process in a conversational recommender. In order to more effectively support users to uncover their hidden criteria and/or solve preference conflicts, we propose to generate adaptive tradeoff explanations in organization-based recommender interfaces, to be conditional on the user's contextual needs. An experiment shows the adaptive element's higher potential to improve recommendation efficiency, relative to methods without this feature. Copyright 2009 ACM.

Keywords

Conversational recommenders, Explanation, Preference elicitation

Publication Date

2009

Source Publication Title

RecSys '09 Proceedings of the third ACM conference on Recommender systems

Start Page

225

End Page

228

Conference Location

New York, United States

Publisher

ACM

ISBN (print)

9781605584355

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