By Ben Shneiderman (auth.), Aijun An, Pawan Lingras, Sheila Petty, Runhe Huang (eds.)
This e-book constitutes the refereed court cases of the sixth foreign convention on energetic Media know-how, AMT 2010, held in Toronto, Canada, in August 2010. The fifty two revised complete papers and a pair of invited talks have been conscientiously reviewed and chosen for inclusion of the e-book. they're grouped in topcial sections on energetic computers and clever interfaces; adaptive net sysetms and knowledge foraging brokers; AMT for semantic internet and internet 2.0; facts mining, ontology mining and net reasoning; e-commerce and internet prone; leisure and social purposes of energetic media; assessment of lively media and AMT established platforms; clever details retrieval; computer studying and human-centered robotics; multi-agent structures; multi-modal processing, detection, attractiveness, and expression research; semantic computing for lively media and AMT-based platforms; shrewdpermanent electronic media; Web-based social networks; and internet mining, knowledge internet and net intelligence.
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Questions concerning the relation among media and morality were a long-lasting difficulty. Can media publicity form or adjust ethical values? Does morality effect how viewers individuals choose, interpret and reply to media content material? makes an attempt to respond to such questions are hindered through the complicated nature of morality and its dynamic relation with media.
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Extra info for Active Media Technology: 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings
For example, Letizia  assists users in browsing the WWW by suggesting and displaying relevant web pages, which are implied by users’ interests from their previous browsing history.
On the other hand, as the ontology are predeﬁned by domain experts, the concepts in the ontology are accurate and easy to spread to related concepts in the hierarchical tree. In addition, the evaluation experiment of the performance of the proposed user interest proﬁle model shows that our user model can accurately represent user interests and enables semantic reasoning in the ontology, and when applied to personalized web search, our user interest proﬁle modeling algorithm shows signiﬁcant performance improvement compared with previous state-of-the-art approaches.
IEEE Transactions on Parallel and Distributed Systems 16(1), 349–361 (2005) A Case for Content Distribution in Peer-to-Peer Networks 17 6. : Dynamic Multicast in Overlay Networks with Linear Capacity Constraints. IEEE Transactions on Parallel and Distributed Systems 20(7), 925–939 (2009) 7. : Overlay Networks with Linear Capacity Constraints. IEEE Transactions on Parallel and Distributed Systems 19(2), 159–173 (2008) 8. : Improving Search in Peer-to-Peer Networks. In: The 22nd International Conference on Distributed Computing Systems (ICDCS 2002), Vienna, Austria (2002) 9.