Modern Personalization Techniques: Approaches, Challenges and Applications

Dear Colleagues,

Personalization systems are used at present to alleviate the problem of information overload by identifying and promoting content that is deemed more suitable for each individual user and hence are an indispensable part of many WWW systems, supporting a great variety of user activities. To this end, personalization systems, collect (either explicitly from the user or implicitly, by monitoring user behavior) and process information about user likings, preferences, and previous actions, users’ current context (such as users’ current location, demographic data, and day/time), users’ activity and neighborhood in social networks (such as connections, posts, check-ins, message exchanges, etc.), the characteristics of content to be recommended (such as qualitative and semantic information), and so on.

This Special Issue aims to promote new theoretical models, approaches, techniques, methods, algorithms, and applications related to the area of personalization. In this Special Issue, all aspects and steps of the area of personalization are considered, from user interest profiling to recommender system techniques and from personalized user interface to privacy preserving techniques for personalization. Authors should submit papers describing original, significant, and unpublished work. Possible topics include but are not limited to:

• Recommender systems;
• Personalized user interface and experience;
• User interest profiling for personalization;
• Deep learning methods for personalization;
• Semantic web and personalization;
• Personalization techniques in social networks;
• Personalized web services;
• Business processes adaptation;
• Personalized cultural informatics;
• Personalization techniques’ performance in the context of big data;
• Privacy preserving techniques for personalization;
• Novel personalization applications;
• Case studies of real-world implementations;
• Cross-disciplinary approaches involving personalization.

Dr. Dionisis Margaris
Prof. Dr. Costas Vassilakis
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• Personalization
• Personalized user interface and experience
• Recommender systems
• User interest profiling
• Business processes adaptation
• Privacy preserving techniques for personalization