The lookahead principle for preference elicitation: Experimental results

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. © Springer-Verlag Berlin Heidelberg 2006.


Published in:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4027 NAI, 378-389
Year:
2006
Publisher:
Springer Verlag, Heidelberg, D-69121, Germany
ISSN:
0302-9743
Keywords:
Note:
Artificial Intelligence Laboratory (LIA), Ecole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland
Laboratories:




 Record created 2008-01-14, last modified 2018-03-17

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