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ICML
2006
IEEE
16 years 5 months ago
A statistical approach to rule learning
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
Stefan Kramer, Ulrich Rückert
ICML
1998
IEEE
16 years 5 months ago
Learning Collaborative Information Filters
Predicting items a user would like on the basis of other users' ratings for these items has become a well-established strategy adopted by many recommendation services on the ...
Daniel Billsus, Michael J. Pazzani
WWW
2009
ACM
16 years 5 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
WWW
2009
ACM
16 years 5 months ago
Web service derivatives
Web service development and usage has shifted from simple information processing services to high-value business services that are crucial to productivity and success. In order to...
Thomas Meinl, Benjamin Blau
WWW
2008
ACM
16 years 5 months ago
Non-intrusive monitoring and service adaptation for WS-BPEL
Web service processes currently lack monitoring and dynamic (runtime) adaptation mechanisms. In highly dynamic processes, services frequently need to be exchanged due to a variety...
Oliver Moser, Florian Rosenberg, Schahram Dustdar