Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
A New Markov Model for Clustering Categorical Sequences
ICDM '11 Proceedings of the 2011 IEEE 11th International Conference on Data Mining
| Hi-index | 0.00 |
This paper presents a practical and novel model for behavioral user profile construction using causal relationships. Causal relationships are extracted from behavior sequences for building user profiles. Our model discovers significant patterns from behavior sequences, then it discovers patterns associations using normalized mutual information. Causal relationships between significant patterns are then identified using the transfer entropy approach. We empirically demonstrate that these causality-based profiles accurately describe users profiles and allow developing practical Ubicomp applications.