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Summary: 1
User Modeling and Recommendation Techniques for
Personalized Electronic Program Guides
Liliana Ardissono, Cristina Gena, Pietro Torasso
Dipartimento di Informatica, Università di Torino, Corso Svizzera 185, 10149
Torino, Italy
(email: {liliana, cgena, torasso}@di.unito.it)
Fabio Bellifemine, Angelo Difino, Barbara Negro
Telecom Italia Lab, Multimedia Division, Via G. Reiss Romoli 274, 10148 Torino,
Italy
(email: {bellifemine, difino, negro}@tilab.com)
Abstract. This chapter presents the recommendation techniques applied in Personal Program
Guide (PPG). This is a system generating personalized Electronic Program Guides for Digital
TV. The PPG manages a user model that stores the estimates of the individual user's
preferences for TV program categories. This model results from the integration of different
preference acquisition modules that handle explicit user preferences, stereotypical information
about TV viewers, and information about the user's viewing behavior. The observation of the
individual viewing behavior is particularly easy because the PPG runs on the set-top box and is
deeply integrated with the TV playing and the video recording services offered by that type of
device.
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