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What is Poisson Sampling

Chapter 11
Handbook of Research on Web Log Analysis
The Poisson sampling process is a useful random sampling process as it includes the properties of (1) Unbiased Sampling (2) Proportional Sampling (3) Comparability of Heterogeneous Poisson sampling Arrivals, and (4) Flexibility on the Stochastic Arrival Process From Which the Sample is Selected.
Published in Chapter:
From Analysis to Estimation of User Behavior
Seda Ozmutlu (Uludag University, Turkey), Huseyin C. Ozmutlu (Uludag University, Turkey), and Amanda Spink (Queensland University of Technology, Australia)
Copyright: © 2009 |Pages: 21
DOI: 10.4018/978-1-59904-974-8.ch011
Abstract
This chapter summarizes the progress of search engine user behavior analysis from search engine transaction log analysis to estimation of user behavior. Correct estimation of user information searching behavior paves the way to more successful and even personalized search engines. However, estimation of user behavior is not a simple task. It closely relates to natural language processing and human computer interaction, and requires preliminary analysis of user behavior and careful user profiling. This chapter details the studies performed on analysis and estimation of search engine user behavior, and surveys analytical methods that have been and can be used, and the challenges and research opportunities related to search engine user behavior or transaction log query analysis and estimation.
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