DocumentCode
2690997
Title
Web video recommendation and long tail discovering
Author
Wu, Xiao ; Zhang, Yongdong ; Guo, Junbo ; Li, Jintao
Author_Institution
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing
fYear
2008
fDate
June 23 2008-April 26 2008
Firstpage
369
Lastpage
372
Abstract
Given countless web videos available online, one problem is how to help users find videos to their taste in an efficient way. In this paper, to facilitate userpsilas browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual network to organize web videos of various topics. Comparison experiments demonstrate proposed approach generates more accurate video relevancy. And our method is more flexible in discovering user latent interests in long tail videos.
Keywords
Internet; multimedia computing; Web video recommendation; contextual network; long tail discovering; multimodal similarity; video relevancy; Clustering algorithms; Computers; Filtering algorithms; History; Information processing; Laboratories; Probability distribution; Recommender systems; Video sharing; YouTube; Recommendation; contextual network; long tail; multi-criterion ranking; visual duplicate detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2008 IEEE International Conference on
Conference_Location
Hannover
Print_ISBN
978-1-4244-2570-9
Electronic_ISBN
978-1-4244-2571-6
Type
conf
DOI
10.1109/ICME.2008.4607448
Filename
4607448
Link To Document