Difference between revisions of "Using Social Networks to Improve TV Recommendations"

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Line 5: Line 5:
 
|Project end date=2014/07/01
 
|Project end date=2014/07/01
 
|Supervisor=Valentina Maccatrozzo
 
|Supervisor=Valentina Maccatrozzo
 +
|Thesis title=Using Social Networks to Improve TV Recommendations
 
|Finished=No
 
|Finished=No
 
|Thesis=Thesis.pdf
 
|Thesis=Thesis.pdf

Revision as of 14:00, 16 December 2013


has title::Using Social Networks to Improve TV Recommendations
status: ongoing
Master: project within::Information Sciences
Student name: student name::Aristeidis Routsis
Dates
Start start date:=2014/01/01
End end date:=2014/07/01
Supervision
Supervisor: Valentina Maccatrozzo
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

The use of the social media has been steadily augmenting during these past years. Social media, such as Twitter, have become an everyday part of our life and an irreplaceable source of information for a large percentage of the population. An interesting part of the social media is the information contained in the users’ profiles. These profiles contain the age, the gender, the languages spoken, the hobbies, the musical preferences and other personal data of the user. The goal of this project is to investigate whether with these information plus the users’ most up-to-date interests, it is possible to create more relevant TV recommendations and more personalized TV services.