The lookahead principle for preference elicitation: experimental results

Authors:
Paolo Viappiani;Boi Faltings;Pearl Pu
Affiliations:
Artificial Intelligence Laboratory (LIA), Switzerland;Artificial Intelligence Laboratory (LIA), Switzerland;Human Computer Interaction Group(HCI), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Venue:
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
Year:
2006

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Abstract

Preference-based search is the problem of finding an item that matches best with a user's preferences. User studies show that example-based tools for preference-based search can achieve significantly higher accuracy when they are complemented with suggestions chosen to inform users about the available choices. We discuss the problem of eliciting preferences in example-based tools and present the lookahead principle for generating suggestions. We compare two different implementations of this principle and we analyze logs of real user interactions to evaluate them.