While multimedia documents are sequentially presented to users, an information filtering (IF) system is useful to achieve a good retrieval performance in terms of both quality and ...
Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shi...
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...
Nowadays we enter the Web 2.0 era where people’s participation is a key principle. In this context, collective annotations enable to share and discuss readers’ feedback with r...
Guillaume Cabanac, Max Chevalier, Claude Chrisment...
Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacity of any single machine. To handle the necessary data volumes and query through...
We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consum...
Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, A...