Mining User Contextual Preferences

  • Sandra de Amo Universidade Federal de Uberlândia
  • Marcos L. P. Bueno Universidade Federal de Uberlândia
  • Guilherme Alves Universidade Federal de Uberlândia
  • Nádia F. Silva Universidade Federal de Uberlândia
Keywords: context-awareness, data mining, preference mining

Abstract

User preferences  play an important role in database query personalization since they can be used for sorting and selecting  the objects which most fulfill the user wishes. In most situations user preferences are not static and may vary according to a multitude of user contexts.  Automatic tools for extracting contextual preferences without bothering the user are desirable. In this article, we propose CPrefMiner, a mining technique for mining user contextual preferences. We argue that  contextual preferences  can be naturally expressed by a Bayesian Preference Network (BPN). The method has been evaluated in a series of experiments executed on synthetic and real-world datasets and  proved to be  efficient to discover user contextual preferences.

Author Biographies

Sandra de Amo, Universidade Federal de Uberlândia

Faculdade de Computação

Associate Professor

Marcos L. P. Bueno, Universidade Federal de Uberlândia

Faculdade de Computação

Assistant Professor

Guilherme Alves, Universidade Federal de Uberlândia

Faculdade de Computação

Undergraduate Student

Nádia F. Silva, Universidade Federal de Uberlândia

Faculdade de Computação

Graduate Student

Published
2013-04-03