GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical methods for speech recognition
Statistical methods for speech recognition
Adaptive Web sites: automatically synthesizing Web pages
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Automatic personalization based on Web usage mining
Communications of the ACM
Visualization of navigation patterns on a Web site using model-based clustering
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Sequential conditional Generalized Iterative Scaling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Sequence Modeling with Mixtures of Conditional Maximum Entropy Distributions
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Web path recommendations based on page ranking and Markov models
Proceedings of the 7th annual ACM international workshop on Web information and data management
Usage-Based PageRank for Web Personalization
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Segmenting Customers from Population to Individuals: Does 1-to-1 Keep Your Customers Forever?
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Web site personalization based on link analysis and navigational patterns
ACM Transactions on Internet Technology (TOIT)
Mining user navigation patterns for personalizing topic directories
Proceedings of the 9th annual ACM international workshop on Web information and data management
A framework for WWW user activity analysis based on user interest
Knowledge-Based Systems
Personalized ranking for digital libraries based on log analysis
Proceedings of the 10th ACM workshop on Web information and data management
Learning and Predicting Key Web Navigation Patterns Using Bayesian Models
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Taxonomy-driven lumping for sequence mining
Data Mining and Knowledge Discovery
Computer Speech and Language
A User Behavior Perception Model Based on Markov Process
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
Characterizing interactive behavior in a large-scale operational IPTV environment
INFOCOM'10 Proceedings of the 29th conference on Information communications
Who uses web search for what: and how
Proceedings of the fourth ACM international conference on Web search and data mining
People searching for people: analysis of a people search engine log
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Understanding couch potatoes: measurement and modeling of interactive usage of IPTV at large scale
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Towards p2p-based semantic web service discovery with qos support
BPM'05 Proceedings of the Third international conference on Business Process Management
Customer relationship management and Web mining: the next frontier
Data Mining and Knowledge Discovery
Towards group behavioral reason mining
Expert Systems with Applications: An International Journal
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We present a mixture model based approach for learningindividualized behavior models for the Web users. Weinvestigate the use of maximum entropy and Markov mixturemodels for generating probabilistic behavior models.We first build a global behavior model for the entire populationand then personalize this global model for the existingusers by assigning each user individual componentweights for the mixture model. We then use these individualweights to group the users into behavior model clusters.We show that the clusters generated in this manner areinterpretable and able to represent dominant behavior patterns.We conduct offline experiments on around two monthsworth of data from CiteSeer, an online digital library forcomputer science research papers currently storing morethan 470,000 documents. We show that both maximum entropyand Markov based personal user behavior modelsare strong predictive models. We also show that maximumentropy based mixture model outperforms Markov mixturemodels in recognizing complex user behavior patterns.