The coming of the Digital TV will bring a significant increase in the number TV programs offered by TV operators. Consequently, the user are facing it difficulty to find out the most interesting TV programs among the various options available. In this new scenario, the recommender systems stand out as a possible solution to the information overload problem. However, the current approaches to recommend content for Digital TV rarely considers the context during the recommendation process. Thus, this paper presents a software infrastructureentitled PersonalTVware-to support context-aware recommendation of TV programs. To validate the PersonalTVware, a context-aware recommender system was implemented as a concept proof. In order to evaluate the quality of the recommendation, a number of experiments have been conducted. The results indicate that consider both user's profile and context can provide better recommendations. Index Terms-Context-awareness, interactive digital TV, recommender systems, ubiquitous computing. applications. Luiz Gustavo Pacola Alves holds a M.Sc. in Electrical Engineering and B.Sc. in Computer Engineering from Polytechnic School of University of Sã o Paulo (EP-USP), Brazil. He has published academic papers on his main research areas which include Interactive Digital TV (metadata, middleware and applications), Context-Aware Computing and Collaborative Systems (CSCW). He worked as a researcher engineer at Laboratory of Computer Architecture and Network (LARC-USP) from 2002 to 2008. Since joining SAMSUNG Electronics in 2009 he has worked with broadcasters, consumer electronics manufacturers, software industries, universities and regulatory governmental agencies to establish technical standards for Brazilian Digital Television System, called SBTVD. Recently he has been focusing on collaboration on GINGA Test Suite specification, a collection of tests to drive the interoperability among the GINGA (SBTVD middleware based on NCL/Lua and Java technologies) implementers. Graç a Bressan got her PhD in Electronic Engineering (1986) at Polytechnic School of University of Sã o Paulo (EP-USP), Brazil. Nowadays, at the Computer Engineering Department at EP-USP, she teaches and develops research on Computer Network, Digital TV and Performance Analysis and has published articles and has oriented Msc and PhD degree students. Her current research interests includes Computer Networks and Digital TV focusing in the aspects of Distributed Systems, Distributed Middleware, QoS Mechanisms, Collaborative Virtual Environment, Middleware for Digital TV, Video-Conferencing, Modeling and Performance Analysis of Networks, and Application in Distance Education.
