We propose a General Markov Framework for computing page importance. Under the framework, a Markov Skeleton Process is used to model the random walk conducted by the web surfer on...
Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, Ha...
End users are often frustrated by unexpected problems while using networked software, leading to frustrated calls to the help desk seeking solutions. However, trying to locate the...
Krist Wongsuphasawat, Pornpat Artornsombudh, Bao N...
The early Web was hailed for being easy to use, and what is more important, giving people a chance to participate in its growth. The Web3D was believed to have potential to be the...
Jacek Jankowski, Izabela Irzynska, Bill McDaniel, ...
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
With the sheer growth of online user data, it becomes challenging to develop preference learning algorithms that are sufficiently flexible in modeling but also affordable in com...
Kai Yu, Shenghuo Zhu, John D. Lafferty, Yihong Gon...