NDLI: Comparing Approaches to Preference Dominance for Conversational Recommenders

Content Provider	IEEE Xplore Digital Library
Author	Trabelsi, W. Wilson, N. Bridge, D. Ricci, F.
Copyright Year	2010
Abstract	A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tried by the user to derive whether one option is dominated by others with respect to the user's preferences. This paper describes a framework for preference dominance. Two instances of the framework are developed for query suggestion in a conversational recommender system. The first instance of the framework is based on a basic quantitative preferences formalism, where products are compared using sums of weights of features. The second is a qualitative preference formalism, using a language that generalizes CP-nets, where models are a kind of generalized lexicographic order. A key feature of both methods is that deductions of preference dominance can be made efficiently, since this procedure needs to be applied for many pairs of products. We show that, by allowing the recommender to focus on undominated options, which are ones that the user is likely to be contemplating, both approaches can dramatically reduce the amount of advice the recommender needs to give to a user compared to what would be given by systems without this kind of reasoning.
Starting Page	113
Ending Page	120
File Size	325133
Page Count	8
File Format	PDF
ISBN	9781424488179
ISSN	10823409
DOI	10.1109/ICTAI.2010.91
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Recommender systems Semantics Cognition Electronic mail Bridges Switches Artificial intelligence lexicographic orders conversational recommender systems reasoning with preferences cp-nets
Content Type	Text
Resource Type	Article

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Comparing approaches to preference dominance for conversational recommenders.

F.: Comparing approaches to preference dominance for conversational recommender systems (2010)

F.: Comparing approaches to preference dominance for conversational recommender systems (2010)

PREFERENCE DOMINANCE REASONING FOR CONVERSATIONAL RECOMMENDER SYSTEMS: A COMPARISON BETWEEN A COMPARATIVE PREFERENCES AND A SUM OF WEIGHTS APPROACH

Preference dominance reasoning for conversational recommender systems: a comparison between a comparative preferences and a sum of weights approach (2011).

Preference Dominance Reasoning for Conversational Recommender Systems: A Comparison Between a Comparative Preferences and a Sum of Weights Approach (2011)

Preference dominance approaches for conversational recommender systems.

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