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Web 2.0 Application Developed to Recommend Television Programs

By Plataforma SINC

May 28, 2009

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Researchers from the Interactive Digital Television Laboratory at Spain's University of Vigo have developed queveo.tv, a Web 2.0 application that filters the programming schedules of hundreds of TV channels to identify and recommend programs that viewers will most likely be interested in, based on the tastes, timetables, and recommendations from other users.

Queveo.tv is an online application that provides individual users with a choice of programs. It uses data collection and algorithms to present viewers with programming options based on their interest. Previous program recommendation algorithms operated using different models, with some using information filtering techniques, which recommend programs similar to those already viewed, and others based on collaborative or social filtering, which provide choices based on the recommendations made by users with similar tastes. Queveo.tv combines both of those methods. The system is already operating online as a social network, which the researchers say improves the interaction between participants. Groups can be established for fans of a series and users can make comments and hold discussions about specific episodes or programs.

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