Adaptation and Personalization (ADP)

Adaptation and Personalization is a peer-reviewed, open-access journal featuring research articles of exceptional significance in all areas of adaptation and personalization. The journal is published by ITS bimonthly with multitude research results.

Editor-in-Chief: Prof. Loc Nguyen
Frequency: Bimonthly
Website: http://www.itspoa.com/journal/adp
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Aims and Scopes

Researchers and practitioners are encouraged to submit original, unpublished contributions. The area includes but is not limited to the following fields:


Adaptive System
Adaptive Learning
Adaptive Hypertext
Adaptive Hypermedia
User Modeling
Recommendation System and Personalization System
Collaborative Filtering and Content-Based Filtering
Data Mining
Machine Learning
Optimization
Artificial Intelligence
Applied Mathematics