The emerging of ubiquitous computing technologies in recent years has given rise to a new field of research consisting in incorporating context-aware preference querying facilities in database systems. One important step in this setting is the Preference Elicitation task which consists in providing the user ways to inform his/her choice on pairs of objects with a minimal effort. In this paper we propose an automatic preference elicitation method based on mining techniques. The method consists in extracting a user profile from a set of user preference samples. In our setting, a profile is specified by a set of contextual preference rules verifying properties of soundness and conciseness. We evaluate the efficacy of the proposed method in a series of experiments executed on a real-world database of user preferences about movies. © 2012 Springer-Verlag.
CITATION STYLE
De Amo, S., Diallo, M. S., Diop, C. T., Giacometti, A., Li, H. D., & Soulet, A. (2012). Mining contextual preference rules for building user profiles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7448 LNCS, pp. 229–242). https://doi.org/10.1007/978-3-642-32584-7_19
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