USER MODELING AND
USER-ADAPTED INTERACTION
The Journal of Personalization Research |
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Special Issue on
Data Mining for Personalization |
Call for PapersThe continued growth and proliferation of e-commerce, online services, and Web-based information systems, has led to an explosion of available content and resources in digital form. As a result of user interactions with these resources, tremendous volumes of clickstream, transaction, and user data are collected by organizations in their daily operations. Analyzing such data can help these organizations determine the life time value of clients, design cross marketing strategies across products and services, evaluate the effectiveness of targeted promotional campaigns, and thus provide more effective personalized content to visitors. Automatic personalization is a central technology used in user-adaptive systems to deliver dynamic content, such as textual elements, links, advertisements, and product recommendations that are tailored to the needs or interests of a particular user or a segment of users. To be able to take full advantage of the flexibility provided by such multi-channel and dynamic data, and to effectively discover user models for automatic personalization, the process of personalization can be viewed as an application of data mining requiring support for all the phases of a typical data mining cycle, including data collection, pre-processing, and integration; the application of data mining and machine learning techniques to generate useful and actionable models; the interpretation and evaluation of the discovered models; and finally the deployment of the learned knowledge to mediate between the user and the applications. This special issue of User Modeling and User-Adapted Interaction will explore recent developments and applications of data mining and machine learning techniques in various aspects of personalization, user modeling, and user adaptive systems, including personalized or adaptive Web applications, e-commerce recommender systems, and intelligent tutoring systems. Contributions are particularly welcome in, but not limited to, the following topics:
How to SubmitSubmissions to the special issue should follow the UMUAI formatting guidelines and submission instructions available at: http://www.umuai.org/paper_submission.html Each
submission should note that it is intended for the Special Issue on Data
Mining and Personalization. Review ProcessSubmissions will undergo the normal review process, and
will be reviewed by three established researchers selected from a panel of
reviewers formed for the special issue. Barring unforeseen problems,
authors can expect to be notified regarding the review results within
three months of submission. Important DatesNotification of Intent to Submit: as soon as possible Guest EditorsBamshad Mobasher |