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.
CITATION STYLE
Viappiani, P., Faltings, B., & Pu, P. (2006). The lookahead principle for preference elicitation: Experimental results. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4027 LNAI, pp. 378–389). Springer Verlag. https://doi.org/10.1007/11766254_32
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