Mining contextual preference rules for building user profiles

Authors:
Sandra de Amo;Mouhamadou Saliou Diallo;Cheikh Talibouya Diop;Arnaud Giacometti;Haoyuan D. Li;Arnaud Soulet
Affiliations:
Universidade Federal de Uberlândia, Brazil;Université de Tours, France,Université Gaston Berger de Saint-Louis, Sénégal;Université Gaston Berger de Saint-Louis, Sénégal;Université de Tours, France;Université de Tours, France;Université de Tours, France
Venue:
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
Year:
2012

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Abstract

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.