Difference between revisions of "What's in subtitles 1"

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|Thesis=Thesis.pdf
 
|Thesis=Thesis.pdf
 
|Poster=Posternaam.pdf
 
|Poster=Posternaam.pdf
|Abstract=Test
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|Abstract=This project aims at understanding the added value subtitle
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enrichment can have on the recommendation task. In
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particular, machine-based and human annotations will be
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compared to identify which method gives better results in
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terms of recommendation diversity. These results will be
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compared to a baseline with the �final objective to assess
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whether subtitle enrichment can improve the diversity of
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recommendations. An offl�ine evaluation will be performed
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on a BBC logs dataset.
 
}}
 
}}
  
 
|free text=}}
 
|free text=}}

Latest revision as of 08:37, 5 April 2016


has title::Annotating Subtitles to Improve Diversity in Recommendations
status: ongoing
Master: project within::Information Sciences
Student name: student name::Emiel van Lankveld
Dates
Start start date:=2016/04/01
End end date:=2016/06/31
Supervision
Supervisor: Valentina Maccatrozzo
Second supervisor: Oana Inel
Second reader: has second reader::Victor de Boer
Thesis: has thesis::Media:Thesis.pdf
Poster: has poster::Media:Posternaam.pdf

Signature supervisor



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Abstract

|free text=}}