A maximum entropy approach to natural language processing
Computational Linguistics
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
Web usage mining for Web site evaluation
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Mining web logs to improve website organization
Proceedings of the 10th international conference on World Wide Web
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Towards Zero-Input Personalization: Referrer-Based Page Prediction
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
Lessons and Challenges from Mining Retail E-Commerce Data
Machine Learning
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Sequential conditional Generalized Iterative Scaling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A maximum entropy web recommendation system: combining collaborative and content features
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Capturing User Interests by Both Exploitation and Exploration
UM '07 Proceedings of the 11th international conference on User Modeling
From Web to Social Web: Discovering and Deploying User and Content Profiles
Identifying Users Stereotypes with Semantic Web Mining
ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Ontological technologies for user modelling
International Journal of Metadata, Semantics and Ontologies
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
Data mining for web personalization
The adaptive web
Towards tabbing aware recommendations
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
LiveAction: Automating Web Task Model Generation
ACM Transactions on Interactive Intelligent Systems (TiiS)
Hybreed: A software framework for developing context-aware hybrid recommender systems
User Modeling and User-Adapted Interaction
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We propose an approach for modeling the navigational behavior of Web users based on task-level patterns. The discovered “tasks” are characterized probabilistically as latent variables, and represent the underlying interests or intended navigational goal of users. The ability to measure the probabilities by which pages in user sessions are associated with various tasks, allow us to track task transitions and modality shifts within (or across) user sessions, and to generate task-level navigational patterns. We also propose a maximum entropy recommendation system which combines the page-level statistics about users' navigational activities together with our task-level usage patterns. Our experiments show that the task-level patterns provide better interpretability of Web users' navigation, and improve the accuracy of recommendations.