Explanation-based generalisation = partial evaluation
Artificial Intelligence
Partial evaluation and automatic program generation
Partial evaluation and automatic program generation
Parameterized partial evaluation
ACM Transactions on Programming Languages and Systems (TOPLAS)
An introduction to partial evaluation
ACM Computing Surveys (CSUR)
Information seeking in electronic environments
Information seeking in electronic environments
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Introduction: personalized views of personalization
Communications of the ACM
Personalization on the Net using Web mining: introduction
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Keeping found things found on the web
Proceedings of the tenth international conference on Information and knowledge management
Mixed-initiative interaction = mixed computation
PEPM '02 Proceedings of the 2002 ACM SIGPLAN workshop on Partial evaluation and semantics-based program manipulation
Toward conversational human-computer interaction
AI Magazine
Finding the flow in web site search
Communications of the ACM
User Modeling and User-Adapted Interaction
Guest Editor's Introduction: Personalization and Privacy
IEEE Internet Computing
A Study of Explanation-Based Methods for Inductive Learning
Machine Learning
Personalizing Web Sites with Mixed-Initiative Interaction
IT Professional
Staging transformations for multimodal web interaction management
Proceedings of the 13th international conference on World Wide Web
A personalized system for conversational recommendations
Journal of Artificial Intelligence Research
| Hi-index | 0.00 |
Information personalization is fertile ground for application of AI techniques. In this article I relate personalization to the ability to capture partial information in an information-seeking interaction. The specific focus is on personalizing interactions at web sites. Using ideas from partial evaluation and explanation-based generalization, I present a modeling methodology for reasoning about personalization. This approach helps identify seven tiers of ‘personable traits' in web sites.