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2007
ACM

Why we search: visualizing and predicting user behavior

9 years 9 months ago
Why we search: visualizing and predicting user behavior
The aggregation and comparison of behavioral patterns on the WWW represent a tremendous opportunity for understanding past behaviors and predicting future behaviors. In this paper, we take a first step at achieving this goal. We present a large scale study correlating the behaviors of Internet users on multiple systems ranging in size from 27 million queries to 14 million blog posts to 20,000 news articles. We formalize a model for events in these time-varying datasets and study their correlation. We have created an interface for analyzing the datasets, which includes a novel visual artifact, the DTWRadar, for summarizing differences between time series. Using our tool we identify a number of behavioral properties that allow us to understand the predictive power of patterns of use. Categories and Subject Descriptors H.2.8 [Information Systems] Database Management ? Data Mining, G.3 [Mathematics of Computing] Probability and Statistics ? Time Series Analysis General Terms Algorithms, M...
Eytan Adar, Daniel S. Weld, Brian N. Bershad, Stev
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2007
Where WWW
Authors Eytan Adar, Daniel S. Weld, Brian N. Bershad, Steven D. Gribble
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