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» PIQL: a performance insightful query language
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CLOUD
2010
ACM
13 years 9 months ago
The case for PIQL: a performance insightful query language
Large-scale, user-facing applications are increasingly moving from relational databases to distributed key/value stores for high-request-rate, low-latency workloads. Often, this m...
Michael Armbrust, Nick Lanham, Stephen Tu, Armando...
SIGMOD
2010
ACM
187views Database» more  SIGMOD 2010»
13 years 9 months ago
PIQL: a performance insightful query language
Large-scale websites are increasingly moving from relational databases to distributed key-value stores for high request rate, low latency workloads. Often this move is motivated n...
Michael Armbrust, Stephen Tu, Armando Fox, Michael...
SIGIR
2006
ACM
13 years 10 months ago
Action modeling: language models that predict query behavior
We present a novel language modeling approach to capturing the query reformulation behavior of Web search users. Based on a framework that categorizes eight different types of “...
G. Craig Murray, Jimmy J. Lin, Abdur Chowdhury
EDBT
2012
ACM
228views Database» more  EDBT 2012»
11 years 7 months ago
Towards scalable data integration under constraints
In this paper we consider the problem of answering queries using views, with or without ontological constraints, which is important for data integration, query optimization, and d...
George Konstantinidis, José Luis Ambite
ECIR
2007
Springer
13 years 6 months ago
Similarity Measures for Short Segments of Text
Measuring the similarity between documents and queries has been extensively studied in information retrieval. However, there are a growing number of tasks that require computing th...
Donald Metzler, Susan T. Dumais, Christopher Meek