Titlebook: Sustainability in Energy and Buildings; Proceedings of the I Robert J. Howlett,Lakhmi C. Jain,Shaun H. Lee Conference proceedings 2009 Spri

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Jean Louis Canaletti,Gilles Notton,Christian Cristofarif all Twitter accounts, and we find that one troll account appears in the top-100 and four in the top-1000. This, combined with other findings presented in this paper, constitute evidence that the driving force of virality and influence in the network came from regular users - users who have not bee

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Bin Cai,Hong Jining data. We also observed that the proportion of words commonly focused on classifying fake news was small. The high number of sub-words at the top of the aggregate results did not allow for adequate analysis of word characteristics. In the future, we have to improve the accuracy of the detection m

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Muhammad Khalid,Andrey V. Savkinvisitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down­ side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts o

Bureaucracy

Eric Paalman,Roger Morganvisitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down­ side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts o

Concrete

F. J. O’Flaherty,J. A. Pinder,C. Jacksonvisitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down­ side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts o

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Rahul Patel,Chetan V. Patki,Vivek Agarwalvisitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down­ side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts o

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