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Adaptation and Personalization (ADP) publishes regular articles and specific issues on specific of adaptation and personalization. Adaptation is ability of a given system to change its actions to deal with different situations. Personalization is ability of a given system that allows users to customize itself according to their preferences. Both adaptation and personalization aim to serve and support users in the best way. This is the new trend of modern technologies and products in which user is the center. There are many fundamental researches and practical techniques focusing on adaptation and personalization, such as adaptive system, collaborative filtering, content-based filtering, user modeling, data mining, machine learning, optimization, artificial intelligence, and applied mathematics. The journal is the forum for scientist to exchange their professional knowledge in these areas.
Through Open Access publication, authors make their research more accessible on the web and grant to all users available free of charge to read, download and share.
Authentic Peer Review
All articles submitted are subject to a rigorous peer review process by the expert reviewers. ITS adheres to the single blind peer-review procedure to ensure the contents on the journals meet ethical and scientific quality standards.
Articles submitted must come through a series of procedures, such as peer review and editing. ITS is committed to finish the whole process in 30 days, in which reviewers are allowed to deliver the comments to editors in 14 days.
Special Issues focusing on certain aspects of a scientific research are published on ITS. Articles on Special Issues aim to broaden the scopes of the journals on ITS and promote the development of a specific aspect of an academic study.