%0 Conference Paper %1 adar2007 %A Adar, E. %A Weld, D. %A Bershad, B. %A Gribble, S. %B Proceedings of the 16th International World Wide Web Conference %D 2007 %K %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{adar2007, 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 = {2015-10-30T14:04:00.000+0100}, author = {Adar, E. and Weld, D. and Bershad, B. and Gribble, S.}, biburl = {https://www.bibsonomy.org/bibtex/250d8126e702aec8de9269742fc696e5d/nosebrain}, booktitle = {Proceedings of the 16th International World Wide Web Conference}, interhash = {7e8b6fc57b9902ddfb09d8fdcdc5b2c8}, intrahash = {50d8126e702aec8de9269742fc696e5d}, keywords = {}, timestamp = {2015-10-30T14:04:00.000+0100}, title = {Why We Search: Visualizing and Predicting User Behavior}, year = 2007 }