Partial constraint satisfaction
Artificial Intelligence - Special volume on constraint-based reasoning
Data mining: concepts and techniques
Data mining: concepts and techniques
Putting personalization into practice
Communications of the ACM - The Adaptive Web
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Adaptive HyperText and Hypermedia
Adaptive HyperText and Hypermedia
A framework for learning constraints: Preliminary report
PRICAI '96 Selected Papers from the Workshop on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations: Learning and Reasoning with Complex Representations
Extendible Adaptive Hypermedia Courseware: Integrating Different Courses and Web Material
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Adapting Information Presentation and Retrieval through User Modelling
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
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Adaptive hypermedia systems offer the functionality to personalize the information experience as per a user-model. In this paper we present a novel content adaptation approach that views information personalization as a constraint satisfaction problem. Information personalization is achieved by satisfying two constraints: (1) relevancy constraints to determine the relevance of a document to a user and (2) co-existence constraints to suggest complementing documents that either provide reinforcing viewpoints or contrasting viewpoints, as per the user’s request. Our information personalization framework involves: (a) an automatic constraint acquisition method, based on association rule mining on a corpus of documents; and (b) a hybrid of constraint satisfaction and optimization methods to derive an optimal solution—i.e. personalized information. We apply this framework to filter news items using the Reuters-21578 dataset.