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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
14 years 7 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
HICSS
2008
IEEE
148views Biometrics» more  HICSS 2008»
14 years 1 months ago
Combining RFID Technology and Business Intelligence for Supply Chain Optimization' Scenarios for Retail Logistics
“Radio Frequency Identification” (RFID) and the related EPC standards promise to enable an automatic collection of supply chain data for optimization purposes. While extensive...
Henning Baars, Hans-Georg Kemper, Heiner Lasi, Mar...
STACS
2005
Springer
14 years 25 days ago
Recursive Markov Chains, Stochastic Grammars, and Monotone Systems of Nonlinear Equations
We introduce and study Recursive Markov Chains (RMCs), which extend ordinary finite state Markov chains with the ability to invoke other Markov chains in a potentially recursive m...
Kousha Etessami, Mihalis Yannakakis
EOR
2007
123views more  EOR 2007»
13 years 7 months ago
A stochastic model for risk management in global supply chain networks
With the increasing emphasis on supply chain vulnerabilities, effective mathematical tools for analyzing and understanding appropriate supply chain risk management are now attrac...
Mark Goh, Joseph Y. S. Lim, Fanwen Meng
SAC
2010
ACM
14 years 20 days ago
Mining interesting sets and rules in relational databases
In this paper we propose a new and elegant approach toward the generalization of frequent itemset mining to the multirelational case. We define relational itemsets that contain i...
Bart Goethals, Wim Le Page, Michael Mampaey