Featured Research

from universities, journals, and other organizations

Web 2.0 Application Developed To Recommend Television Programs

Date:
May 25, 2009
Source:
Plataforma SINC
Summary:
Researchers have developed a Web 2.0 application that filters the programming schedules of hundreds of television channels to recommend programs that viewers are most likely to be interested in, according to their tastes, timetables and other users' recommendations. This new social network is already being used by students and is freely available on the Internet.

A group of researchers from the University of Vigo has developed a Web 2.0 application that filters the programming schedules of hundreds of television channels to recommend programmes that viewers are most likely to be interested in, according to their tastes, timetables and other users' recommendations. This new social network is already being used by students and is freely available on the Internet.

The era of channel-hopping by television viewers trying to find a programme they like is almost over. The range of channels on offer has expanded spectacularly over recent years with the development of digital platforms, cable television and DTT, meaning it is now impossible for viewers to keep tabs on everything being shown and programmes they might want to watch. This is why the Interactive Digital Television Laboratory, which is part of the Department of Telematic Engineering at the University of Vigo, has developed queveo.tv, an online application that provides each user with a choice of programmes, and has been published in the latest issue of IEEE Transactions on Consumer Electronics.

Ana Belén Barragáns, one of the researchers involved in the project, says: "The public is exposed to an information overload by being presented with hundreds of televisual choices". The Galician researchers have developed an individually-tailored tool based on algorithms and the collection of data to give television viewers predictions and recommendations based on their interests.

Barragáns tells SINC that "by using the queveo.tv application jointly with a PVR (Personal Video Recorder) people will no longer have to plan ahead to record their favourite programmes, and can avoid recording adverts or, in the worst cases, having to watch them".

Until now, most programme recommendation algorithms have operated using different models. Some used information filtering (IF) techniques, which recommend programmes similar to those viewed in the past. Others were based on collaborative or social filtering (CF), providing results on the basis of contents recommendations made by users with similar tastes. The University of Vigo has combined both these methods.

A social network for TV

The University of Vigo has combined both methods. Queveo.tv is already operating on the Internet using a social networking format, which the researchers say boosts interaction between participants and benefits the platform. The social networking component of the application is the key to its success. Groups can be set up for fans of a series, or for people to make comments on specific episodes or programmes, as well as to chat with friends, send recommendations, or add comments about programmes, channels or items screened.

The use of these new technologies also leads to problems, however. Although the CF methods, based on users' individual experiences and their inclusion within a network, result in high quality recommendations, "its efficacy declines with the number of users and television programmes", says Barragáns, referring to what is known as the sparsity problem.

The study by Barragáns and her team "involved us conducting a series of experiments to check the validity of the algorithms. The results show that the best ones used not only mitigate problems such as the scarcity of data, but also make very precise recommendations.

A beta version of this application has already been publicly available for several weeks, and is being tested by the students of the Higher Technical School of Telecommunication Engineering at the University of Vigo. According to Ana Belén Barragáns, "the feedback we have received is very encouraging".


Story Source:

The above story is based on materials provided by Plataforma SINC. Note: Materials may be edited for content and length.


Journal Reference:

  1. Ana Belén Barragáns Martínez; José J. Pazos Arias; Ana Fernández Vilas, Jorge García Duque y Martín López Nores. What's on TV Tonight? An Efficient and Effective Personalized Recommender System of TV Programs. IEEE Transactions on Consumer Electronics, February 2009; 55 (1), pages 286-294

Cite This Page:

Plataforma SINC. "Web 2.0 Application Developed To Recommend Television Programs." ScienceDaily. ScienceDaily, 25 May 2009. <www.sciencedaily.com/releases/2009/05/090525105228.htm>.
Plataforma SINC. (2009, May 25). Web 2.0 Application Developed To Recommend Television Programs. ScienceDaily. Retrieved August 29, 2014 from www.sciencedaily.com/releases/2009/05/090525105228.htm
Plataforma SINC. "Web 2.0 Application Developed To Recommend Television Programs." ScienceDaily. www.sciencedaily.com/releases/2009/05/090525105228.htm (accessed August 29, 2014).

Share This




More Computers & Math News

Friday, August 29, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

JPMorgan Chase Confirms Possible Cyber Attack

JPMorgan Chase Confirms Possible Cyber Attack

Reuters - US Online Video (Aug. 28, 2014) — Attackers stole checking and savings account information and lots of other data from JPMorgan Chase, according to the New York Times. Other banks are believed to be victims as well. Fred Katayama reports. Video provided by Reuters
Powered by NewsLook.com
Spend 2 Minutes Watching This Smartwatch Roundup

Spend 2 Minutes Watching This Smartwatch Roundup

Newsy (Aug. 28, 2014) — LG announces a round-faced smartwatch, Samsung adds 3G connectivity to its latest wearable, and Apple will reportedly announce the iWatch on Sept. 9. Video provided by Newsy
Powered by NewsLook.com
Google Reveals Drone Delivery Program, 'Project Wing'

Google Reveals Drone Delivery Program, 'Project Wing'

Newsy (Aug. 28, 2014) — Google has been developing a drone delivery system of its own, and it hopes to revolutionize how people view possessions with it. Video provided by Newsy
Powered by NewsLook.com
Why Apple Might Add Mobile Payment Options To iPhone 6

Why Apple Might Add Mobile Payment Options To iPhone 6

Newsy (Aug. 28, 2014) — A report by Wired suggests Apple's next iPhone will feature a mobile payment system and near-field communication. Video provided by Newsy
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
 
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:  

Breaking News:
from the past week

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:  

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile iPhone Android Web
Follow Facebook Twitter Google+
Subscribe RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins