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WWW
2010
ACM
14 years 3 months ago
Exploring searcher interactions for distinguishing types of commercial intent
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein
CP
2005
Springer
14 years 1 months ago
Boosting Distributed Constraint Satisfaction
Abstract Competition and cooperation can boost the performance of a combinatorial search process. Both can be implemented with a portfolio of algorithms which run in parallel, give...
Georg Ringwelski, Youssef Hamadi
ECIR
2008
Springer
13 years 9 months ago
An Evaluation Measure for Distributed Information Retrieval Systems
This paper is concerned with the evaluation of distributed and peer-to-peer information retrieval systems. A new measure is introduced that compares results of a distributed retrie...
Hans Friedrich Witschel, Florian Holz, Gregor Hein...
EDBT
2008
ACM
180views Database» more  EDBT 2008»
14 years 8 months ago
Probabilistic ranked queries in uncertain databases
Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to "certain" data, ...
Xiang Lian, Lei Chen 0002
AAAI
2006
13 years 9 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...