Using Social Networks to Improve TV Recommendations
From Master Projects
| has title::Using Social Networks to Improve TV Recommendations | |
|---|---|
status: finished
| |
| 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.
