Full metadata record
DC FieldValueLanguage
dc.contributor.advisorPhạm, Bảo Sơn-
dc.contributor.authorKiều, Thanh Bình-
dc.date.accessioned2017-05-17T08:20:19Z-
dc.date.available2017-05-17T08:20:19Z-
dc.date.issued2015-
dc.identifier.citationKiều, T. B. (2015). Predicting the Popularity of Social Curation. Master's thesis, Vietnam National University, Hanoi-
dc.identifier.degreecode00051000222-
dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/43243-
dc.description.abstractThe amount and variety of social media content such as status, images, movies,and music are increasing rapidly. Accordingly, the social curation service is emergingas a new way to connect, select, and organize information on a massive scale. Onenoticeable feature of social curation services is that they are loosely supervised: thecontent that users create in the service is manually collected, selected, and main-tained. A large proportion of these contents are arbitrarily created by inexperiencedusers. In this thesis, we look into social curation, particularly, the Storify website.This is the most popular social curation for creating stories included in various do-mains such as Twitter, Flicker, and YouTube... We implemented a machine learningmethod with feature extraction to filter these contents and to predict the popularityof social curation data-
dc.format.extent25 p. + CD-ROM + Tóm tắt-
dc.language.isoen-
dc.publisherĐHCN-
dc.relation.replacesLuận văn Ngành Khoa học Máy tính (Full)-
dc.titlePredicting the Popularity of Social Curation =Dự đoán nội dung mạng xã hội nổi bật-
dc.title.alternativeDự đoán nội dung mạng xã hội nổi bật-
dc.typeThesis-
Appears in Collections:UET - Master Theses


  • 00051000222.pdf
    • Size : 1,05 MB

    • Format : Adobe PDF

    • View : 
    • Download : 
  • Full metadata record
    DC FieldValueLanguage
    dc.contributor.advisorPhạm, Bảo Sơn-
    dc.contributor.authorKiều, Thanh Bình-
    dc.date.accessioned2017-05-17T08:20:19Z-
    dc.date.available2017-05-17T08:20:19Z-
    dc.date.issued2015-
    dc.identifier.citationKiều, T. B. (2015). Predicting the Popularity of Social Curation. Master's thesis, Vietnam National University, Hanoi-
    dc.identifier.degreecode00051000222-
    dc.identifier.urihttp://repository.vnu.edu.vn/handle/VNU_123/43243-
    dc.description.abstractThe amount and variety of social media content such as status, images, movies,and music are increasing rapidly. Accordingly, the social curation service is emergingas a new way to connect, select, and organize information on a massive scale. Onenoticeable feature of social curation services is that they are loosely supervised: thecontent that users create in the service is manually collected, selected, and main-tained. A large proportion of these contents are arbitrarily created by inexperiencedusers. In this thesis, we look into social curation, particularly, the Storify website.This is the most popular social curation for creating stories included in various do-mains such as Twitter, Flicker, and YouTube... We implemented a machine learningmethod with feature extraction to filter these contents and to predict the popularityof social curation data-
    dc.format.extent25 p. + CD-ROM + Tóm tắt-
    dc.language.isoen-
    dc.publisherĐHCN-
    dc.relation.replacesLuận văn Ngành Khoa học Máy tính (Full)-
    dc.titlePredicting the Popularity of Social Curation =Dự đoán nội dung mạng xã hội nổi bật-
    dc.title.alternativeDự đoán nội dung mạng xã hội nổi bật-
    dc.typeThesis-
    Appears in Collections:UET - Master Theses


  • 00051000222.pdf
    • Size : 1,05 MB

    • Format : Adobe PDF

    • View : 
    • Download :