Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Modern Information Retrieval
ThemeRiver: Visualizing Thematic Changes in Large Document Collections
IEEE Transactions on Visualization and Computer Graphics
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Cluster and Calendar Based Visualization of Time Series Data
INFOVIS '99 Proceedings of the 1999 IEEE Symposium on Information Visualization
Visualizing Time-Series on Spirals
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
Proceedings of the 13th international conference on World Wide Web
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SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Semantic similarity between search engine queries using temporal correlation
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The predictive power of online chatter
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Visualizing and discovering non-trivial patterns in large time series databases
Information Visualization
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
InfoScale '06 Proceedings of the 1st international conference on Scalable information systems
History repeats itself: repeat queries in Yahoo's logs
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Beautiful Evidence
Anonymizing transaction databases for publication
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning about the world through long-term query logs
ACM Transactions on the Web (TWEB)
Proceedings of the 18th international conference on World wide web
Mining rich session context to improve web search
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Optimal distance bounds for fast search on compressed time-series query logs
ACM Transactions on the Web (TWEB)
A comparison of social bookmarking with traditional search
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Conversational tagging in twitter
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Taking advantage of contextualized interactions while users watch TV
Multimedia Tools and Applications
Context comparison of bursty events in web search and online media
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Extraction, characterization and utility of prototypical communication groups in the blogosphere
ACM Transactions on Information Systems (TOIS)
ρ-uncertainty: inference-proof transaction anonymization
Proceedings of the VLDB Endowment
Understanding temporal query dynamics
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Patterns of temporal variation in online media
Proceedings of the fourth ACM international conference on Web search and data mining
Learning from collective human behavior to introduce diversity in lexical choice
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
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Dynamical classes of collective attention in twitter
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Modeling and predicting behavioral dynamics on the web
Proceedings of the 21st international conference on World Wide Web
PrivBasis: frequent itemset mining with differential privacy
Proceedings of the VLDB Endowment
Mining the web to predict future events
Proceedings of the sixth ACM international conference on Web search and data mining
A peek into the future: predicting the evolution of popularity in user generated content
Proceedings of the sixth ACM international conference on Web search and data mining
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Journal of Artificial Intelligence Research
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Behavioral dynamics on the web: Learning, modeling, and prediction
ACM Transactions on Information Systems (TOIS)
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Web Intelligence and Agent Systems
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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.