A model for reasoning about persistence and causation
Computational Intelligence
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Probabilistic independence networks for hidden Markov probability models
Neural Computation
Answering queries from context-sensitive probabilistic knowledge bases
Selected papers from the international workshop on Uncertainty in databases and deductive systems
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Proceedings of the third annual conference on Autonomous Agents
Mining navigation history for recommendation
Proceedings of the 5th international conference on Intelligent user interfaces
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
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
Learning to construct knowledge bases from the World Wide Web
Artificial Intelligence - Special issue on Intelligent internet systems
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Personalizing web sites for mobile users
Proceedings of the 10th international conference on World Wide Web
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Relational Reinforcement Learning
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning Probabilistic Relational Models
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Tree Induction for Probability-Based Ranking
Machine Learning
Adaptive web sites: an AI challenge
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Adaptive web navigation for wireless devices
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Statistical Relational Learning for Document Mining
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ACM SIGKDD Explorations Newsletter
Prospects and challenges for multi-relational data mining
ACM SIGKDD Explorations Newsletter
A community-aware search engine
Proceedings of the 13th international conference on World Wide Web
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
A clickstream-based collaborative filtering personalization model: towards a better performance
Proceedings of the 6th annual ACM international workshop on Web information and data management
Mining interesting knowledge from weblogs: a survey
Data & Knowledge Engineering
Incremental click-stream tree model: Learning from new users for web page prediction
Distributed and Parallel Databases
Validation and interpretation of Web users' sessions clusters
Information Processing and Management: an International Journal
Mining user navigation patterns for personalizing topic directories
Proceedings of the 9th annual ACM international workshop on Web information and data management
The Complexity of Translating BLPs to RMMs
Inductive Logic Programming
Shrinkage Estimator for Bayesian Network Parameters
ECML '07 Proceedings of the 18th European conference on Machine Learning
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
ECML '07 Proceedings of the 18th European conference on Machine Learning
Adaptive Portals: Context Adaptive Navigation through Large Information Spaces
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
A probabilistic model for web usage mining
TELE-INFO'09 Proceedings of the 8th Wseas international conference on Telecommunications and informatics
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Towards learning stochastic logic programs from proof-banks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dynamic probabilistic relational models
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Lifted first-order probabilistic inference
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Web Semantics: Science, Services and Agents on the World Wide Web
OCCAM: ontology-based computational contextual analysis and modeling
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
Incorporating concept hierarchies into usage mining based recommendations
WebKDD'06 Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Typed linear chain conditional random fields and their application to intrusion detection
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Interaction analysis for adaptive user interfaces
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
A reference model for adaptive visualization systems
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I
Improving bayesian network structure search with random variable aggregation hierarchies
ECML'06 Proceedings of the 17th European conference on Machine Learning
TildeCRF: conditional random fields for logical sequences
ECML'06 Proceedings of the 17th European conference on Machine Learning
DAWN – a system for context-based link recommendation in web navigation
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Building reliable activity models using hierarchical shrinkage and mined ontology
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Statistical relational learning: an inductive logic programming perspective
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Context-based navigational support in hypermedia
AH'06 Proceedings of the 4th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Statistical relational learning: an inductive logic programming perspective
ECML'05 Proceedings of the 16th European conference on Machine Learning
Learning models of relational stochastic processes
ECML'05 Proceedings of the 16th European conference on Machine Learning
Generative structure learning for Markov logic networks based on graph of predicates
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Structured probabilistic inference
International Journal of Approximate Reasoning
Attribute-based collaborative filtering using genetic algorithm and weighted C-means algorithm
International Journal of Business Information Systems
Contextual word spotting in historical manuscripts using Markov logic networks
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing
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Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain of each variable can be hierarchically structured, and shrinkage is carried out over the cross product of these hierarchies. RMMs make effective learning possible in domains with very large and heterogeneous state spaces, given only sparse data. We apply them to modeling the behavior of web site users, improving prediction in our PROTEUS architecture for personalizing web sites. We present experiments on an e-commerce and an academic web site showing that RMMs are substantially more accurate than alternative methods, and make good predictions even when applied to previously-unvisited parts of the site.