2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (2015)
June 29, 2015 to July 3, 2015
Majdi Rawashdeh , Engineering Division, New York University, Abu Dhabi, UAE
Mohammed F. Alhamid , College of Computer and Information Sciences, King Saud University, KSA
M. Anwar Hossain , College of Computer and Information Sciences, King Saud University, KSA
Abdulmotaleb El Saddik , Engineering Division, New York University, Abu Dhabi, UAE
The availability and pervasive use of smart mobile devices makes it easy to upload videos and photos to the social websites and label them with any arbitrary tags from anywhere and anytime. This paper exploits the social tagging information and reveals the latent hidden tags which might be relevant to a social media item to improve the tag-based search process. The proposed approach predicts links in undirected weighted tripartite graph. From a graph-based proximity perspective, our approach finds the appropriate personalized item in response to the user's query as well as uncovers the hidden tags potentially relevant to a given item. We evaluate our method on real-world social tagging system collected from MovieLens. The experimental evaluation shows that enriching the low annotated items with hidden tags improves the tag-based search performance.
Tagging, Matrix converters, Media, Motion pictures, Search problems, Mobile handsets, Videos
M. Rawashdeh, M. F. Alhamid, M. A. Hossain and A. El Saddik, "Boosting tag-based search in social media sites," 2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Turin, Italy, 2015, pp. 1-6.