Multimedia Services in Intelligent Environments: Advances in Recommender Systems
Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, egovernment and
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Abstract Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, egovernment and e-governance, e-commerce and e-auctions, e-entertainment, e-health and emedicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the everincreasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments. With this view in mind, we have been editing a series of books on Multimedia Services in Intelligent Environments [1-4]. This book is the fourth in this series. In this book, we examine recent Advances in Recommender Systems, which are crucial in multimedia services, as they aim at protecting the service users from information overload.
1 Introduction The term Multimedia Services has been coined to refer to services which make use of coordinated and secure storage, processing, transmission, and retrieval of information which exists in various forms. As such, the term refers to several levels of data processing and includes such diverse application areas as digital libraries, e-learning, e-government, e-commerce, e-entertainment, e-health, and elegal services, as well as their mobile counterparts (i.e., m-services). As new G. A. Tsihrintzis (&) M. Virvou University of Piraeus, Piraeus, Greece e-mail: [email protected] L. C. Jain University of South Australia, Adelaide, Australia
G. A. Tsihrintzis et al. (eds.), Multimedia Services in Intelligent Environments, Smart Innovation, Systems and Technologies 24, DOI: 10.1007/978-3-319-00372-6_1, Ó Springer International Publishing Switzerland 2013
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multimedia services appear constantly, new challenges for advanced processing arise daily. Thus, we have been attempting to follow relevant advances in a series of edited books on multimedia services in intelligent environments. This is the fourth volume on the topic. In our earlier books [1–3], we covered various aspects of processing in multimedia services. More specifically, in [1] we were concerned mostly with low level data processing in multimedia services in intelligent environments, including storage (Chap. 2), recognition and classification (Chaps. 3 and 4), transmission (Chaps. 5 and 6), retrieval (Chaps. 7 and 8), and securing (Chaps. 9 and 10) of information. Four additional chapters in [1] presented intermediate level multimedia services in noise and hearing monitoring and measuring (Chap. 11), augmented reality (Chap. 12), automated lecture rooms (Chap. 13) and rights management and licensing (Chap. 14). Finally, Chap. 15 was devoted to a high-level intelligent recommender service in scientific digital libraries. In [2], we were concerned with various software development chall
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