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
fDate :
June 23 2008-April 26 2008
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;
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
DOI :
10.1109/ICME.2008.4607448
