%0 Conference Paper %1 Adar07 %A Adar, Eytan %A Weld, Daniel %A Bershad, Brian %A Gribble, Steven %B Proc. WWW'16 %C Banff, Canada %D 2007 %K WebSearch intent %P 161--170 %T Why We Search: Visualizing and Predicting User Behavior %X 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.

@inproceedings{Adar07, abstract = {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.}, added-at = {2008-07-07T21:41:03.000+0200}, address = {Banff, Canada}, author = {Adar, Eytan and Weld, Daniel and Bershad, Brian and Gribble, Steven}, biburl = {https://www.bibsonomy.org/bibtex/2d746d562e6af96c1d897dcfd24313056/mkroell}, booktitle = {Proc. WWW'16}, interhash = {7e8b6fc57b9902ddfb09d8fdcdc5b2c8}, intrahash = {d746d562e6af96c1d897dcfd24313056}, keywords = {WebSearch intent}, pages = {161--170}, timestamp = {2009-09-08T10:53:23.000+0200}, title = {Why We Search: Visualizing and Predicting User Behavior}, year = 2007 }