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WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
70
Voted
VLDB
1999
ACM
97views Database» more  VLDB 1999»
15 years 1 months ago
Relational Databases for Querying XML Documents: Limitations and Opportunities
XML is fast emerging as the dominant standard for representing data in the World Wide Web. Sophisticated query engines that allow users to effectively tap the data stored in XML d...
Jayavel Shanmugasundaram, Kristin Tufte, Chun Zhan...
CIKM
2009
Springer
15 years 4 months ago
A general markov framework for page importance computation
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...
TSE
2011
134views more  TSE 2011»
14 years 4 months ago
Verifying the Evolution of Probability Distributions Governed by a DTMC
— We propose a new probabilistic temporal logic iLTL which captures properties of systems whose state can be represented by probability mass functions (pmf’s). Using iLTL, we c...
YoungMin Kwon, Gul A. Agha
63
Voted
CGO
2007
IEEE
15 years 4 months ago
Ubiquitous Memory Introspection
Modern memory systems play a critical role in the performance of applications, but a detailed understanding of the application behavior in the memory system is not trivial to atta...
Qin Zhao, Rodric M. Rabbah, Saman P. Amarasinghe, ...