Mining User Contextual Preferences

Authors

  • Nádia F. Silva Universidade Federal de Uberlândia
  • Guilherme Alves Universidade Federal de Uberlândia
  • Marcos L. P. Bueno Universidade Federal de Uberlândia
  • Sandra de Amo Universidade Federal de Uberlândia http://www.deamo.prof.ufu.br

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.

Downloads

Download data is not yet available.

Author Biographies

Nádia F. Silva, Universidade Federal de Uberlândia

Faculdade de Computação

Graduate Student

Guilherme Alves, Universidade Federal de Uberlândia

Faculdade de Computação

Undergraduate Student

Marcos L. P. Bueno, Universidade Federal de Uberlândia

Faculdade de Computação

Assistant Professor

Sandra de Amo, Universidade Federal de Uberlândia

Faculdade de Computação

Associate Professor

Downloads

Published

2013-06-07

Issue

Section

SBBD 2012 Short Papers