Content based microblogger recommendation
2012 ASE/IEEE International Conference on Social Computing, SocialCom 2012 and the 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2012, Amsterdam, Hollanda, 3 - 05 Eylül 2012, ss.605-610, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/socialcom-passat.2012.124
- Basıldığı Şehir: Amsterdam
- Basıldığı Ülke: Hollanda
- Sayfa Sayıları: ss.605-610
- Anahtar Kelimeler: Content Based Recommendation, Microblogging, Twitter
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Micro logs are social networking systems, where users frequently contribute very short (micro) posts. Micro loggers follow others' posts via subscription. However, it is a challenge to determine micro loggers worthy of following, since their contributions are fragmented amidst numerous and various tiny posts. Furthermore, micro posts typically include abbreviations, mispeled words, special tokens, and are not grammatically correct. Consequently, typical NLP techniques are often not very useful in determining what a user posts about. This work proposes a content-based, as opposed to friendship-based, micro blogger recommendation model, where given an user query a ranked list of microbloggers is produced. This paper presents the recommendation model, a prototype implementation, an user evaluation. © 2012 IEEE.