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A Study of Query Length Avi Arampatzis1
 

Summary: A Study of Query Length
Avi Arampatzis1
Jaap Kamps1,2
1
Archives and Information Studies, University of Amsterdam
2
ISLA, Informatics Institute, University of Amsterdam
ABSTRACT
We analyse query length, and fit power-law and Poisson distribu-
tions to four different query sets. We provide a practical model for
query length, based on the truncation of a Poisson distribution for
short queries and a power-law distribution for longer queries, that
better fits real query length distributions than earlier proposals.
Categories and Subject Descriptors: H.3 [Information Storage and Re-
trieval]: H.3.3 Information Search and Retrieval; H.3.7 Digital Libraries
General Terms: Measurement, Experimentation, Theory
Keywords: Query length, Power-law, Zipf's law, Transaction log analysis
1. INTRODUCTION
From analysing query-logs, previous research has suggested that
the distribution of query lengths can be approximated with the (gen-

  

Source: Arampatzis, Avi - Department of Electrical and Computer Engineering, Democritus University of Thrace

 

Collections: Computer Technologies and Information Sciences