Xiaoyi Jiang

Chang Wen Chen

Matthew Y. Ma

The portable device and mobile phone market has witnessed rapid growth in the last few years with the emergence of several revolutionary products such as mobile TV, converging iPhone and digital cameras that combine music, phone and video functionalities into one device. The proliferation of this market has further bene?ted from the competition in software and applications for smart phones such as Google’s Android operating system and Apple’s iPhone App- Store, stimulating tens of thousands of mobile applications that are made ava- able by individual and enterprise developers. Whereas the mobile device has become ubiquitous in people’s daily life not only as a cellular phone but also as a media player, a mobile computing device, and a personal assistant, it is p- ticularly important to address challenges timely in applying advanced pattern recognition, signal, information and multimedia processing techniques, and new emerging networking technologies to such mobile systems. The primary objective of this book is to foster interdisciplinary discussions and research in mobile multimedia processing techniques, applications and s- tems, as well as to provide stimulus to researchers on pushing the frontier of emerging new technologies and applications. One attempt on such discussions was the organization of the First Int- national Workshop of Mobile Multimedia Processing (WMMP 2008), held in Tampa, Florida, USA, on December 7, 2008. About 30 papers were submitted from10countriesacrosstheUSA,Asia andEurope.

Fundamentals, Methods, and Applications

Mobile Multimedia Processing

Gulden Uchyigit

The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed.The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems.This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems.

Matthew Y. Ma

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