Viappiani, PaoloFaltings, BoiPu, Pearl2008-01-142008-01-142008-01-14200610.1007/11766254_32https://infoscience.epfl.ch/handle/20.500.14299/16209Preference-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.Online searchingProblem solvingQuery languagesComputer sciencetext::conference output::conference proceedings::conference paper