Advances in Intelligent IT - Active Media Technology 2006, by Y. Li, M. Looi, N. Zhong

By Y. Li, M. Looi, N. Zhong

Within the nice electronic period, we're witnessing many quick medical and technological advancements in human-centered, seamless computing environments, interfaces, units, and platforms with purposes starting from company and verbal exchange to leisure and studying. those advancements are jointly top characterised as energetic Media expertise (AMT), a brand new quarter of clever info expertise and computing device technology that emphasizes the proactive, seamless roles of interfaces and structures in addition to new media in all features of electronic lifestyles. An AMT established computing device procedure bargains prone that permit the quick layout, implementation, deploying and aid of personalized suggestions. This ebook brings jointly papers from researchers from assorted parts, akin to net intelligence, info mining, clever brokers, clever details use, networking and clever interface.IOS Press is a world technology, technical and scientific writer of high quality books for lecturers, scientists, and execs in all fields. the various parts we put up in: -Biomedicine -Oncology -Artificial intelligence -Databases and knowledge structures -Maritime engineering -Nanotechnology -Geoengineering -All facets of physics -E-governance -E-commerce -The wisdom economic climate -Urban stories -Arms regulate -Understanding and responding to terrorism -Medical informatics -Computer Sciences

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Extra info for Advances in Intelligent IT - Active Media Technology 2006, Proceedings of the 4th International Conference on Active Media Technology, AMT 2006, June 7-9, 2006, Brisbane, Australia

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G. cold start problem) and also enables recommender systems to provide recommendations with better novelty and quality to users. Keywords. Recommender System, Multiagent System, Cistributed System 1. Introduction The receipt of undesirable or non-relevant information is generally referred to as information overload. Nowadays, due to the advance of internet technology and World Wide Web (WWW), the issue of information overload has become increasingly serious. Significant research endeavor is being invested in building support tools that ensure the right information is delivered to the right people at the right time.

Riedl, "E-Commerce Recommendation Applications," Journal of Data Mining and Knowledge Discovery, vol. 5, pp. 115-152, 2000. B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Riedl, "Analysis of recommendation algorithms for ecommerce," presented at 2nd ACM conference on Electronic commerce, Minneapolis, Minnesota, United States, 2000. G. Linden, B. Smith, and J. com recommendations: item-to-item collaborative filtering," Internet Computing, IEEE, vol. 7, pp. 76-80, 2003. Y. Z. Wei, L. Moreau, and N.

Knowledge representations (KR) are need for the semantic web to function; the computers and software agents using it need to have access to structured information and inference rules in order to perform some reasoning. Also the rules and information must be powerful enough to describe complex terms. Languages like the Extensible Mark-up Language (XML) and Resource Description Framework (RDF) are already in place and helping to make this happen along with newer languages such as here and here, which shall all be described in more detail later on.

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