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What is Context-Aware Personalized Content-Based Collaborative Recommendation

Encyclopedia of Information Science and Technology, Fourth Edition
Is a personalized recommendation technique that provides new items to a target user, using items that other users who are similar to the target user have consumed in the contexts similar to the target user’s present context, including (if any) items that the target user has consumed in similar contexts.
Published in Chapter:
Context-Aware Personalization for Mobile Services
Abayomi Moradeyo Otebolaku (Liverpool John Moores University, UK) and Maria Teresa Andrade (University of Porto, Portugal)
Copyright: © 2018 |Pages: 12
DOI: 10.4018/978-1-5225-2255-3.ch524
Abstract
Audiovisual content consumption on mobile platforms is rising exponentially and this trend will continue in the next years as mobile devices become more sophisticated. Thus, smartphones are gradually replacing our desktops as they increasingly become cheaper and more powerful with excellent multimedia processing support. As mobile users go about their routines, they continuously browse the Web, seeking interesting content to consume, and also uploading personal content. However, users encounter huge volume of content, that does not match their preferences, resulting in mobile information overload. Context-aware media personalization (CAMP) was proposed as a solution to this problem. CAMP assists users to select relevant content among alternatives considering users' preferences and contexts. This solution, however, are limited to static contexts. Our contribution is Mobile Context-Aware Media Personalization(MobCAMP), which is a special kind of personalization that utilizes user's contexts and activities to suggest media content according to the user's tastes and contextual situations.
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