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Presented at: Boston USA Published in: Proceedings of the Twenty-first National Conference on Artificial Intelligence (AAAI-06), p. 205-211 : AAAI press, 2006

People frequently use the world-wide web to find their most preferred item among a large range of options. We call this task preference-based search. The most common tool for preference-based search on the WWW today obtains users' preferences by asking them to fill in a form. It then returns a list of items that most closely match these preferences. Recently, several researchers have proposed tools for preference-based search that elicit preferences from the critiques a user actively makes on examples shown to them. We carried out a user study in order to compare the performance of traditional preference-based search tools using form-filling with two different versions of an example-critiquing tool. The results show that example critiquing achieves almost three times the decision accuracy, while requiring only slightly higher interaction effort.

Keywords: Search engines ; World Wide Web ; Online searching ; Human ; computer interaction ; Artificial intelligence Reference LIA-CONF-2006-029





Autor: Viappiani, Paolo; Faltings, Boi; Pu, Pearl

Fuente: https://infoscience.epfl.ch/record/98343?ln=en



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