Read e-book online Adaptive Hypermedia and Adaptive Web-Based Systems: 5th PDF

By Jan Borchers (auth.), Wolfgang Nejdl, Judy Kay, Pearl Pu, Eelco Herder (eds.)

ISBN-10: 3540709843

ISBN-13: 9783540709848

ISBN-10: 3540709878

ISBN-13: 9783540709879

This e-book constitutes the refereed lawsuits of the fifth foreign convention on Adaptive Hypermedia and Adaptive Web-Based platforms, AH 2008, held in Hannover, Germany in July 2008.

The 24 revised complete papers and 26 revised brief papers offered including abstracts of three keynotes, four demo papers, and eleven doctoral consortium posters have been rigorously reviewed and chosen from 185 papers submitted. The papers concentrate on pioneering theories, concepts, and leading edge applied sciences to supply dynamic personalization, version, and contextualization of hypermedia assets and services.

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Read Online or Download Adaptive Hypermedia and Adaptive Web-Based Systems: 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings PDF

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Extra info for Adaptive Hypermedia and Adaptive Web-Based Systems: 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings

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4 Evaluation For the evaluation we took a snapshot of the Comtella-D system of the Ethics and Computer Science course 2006. Overall, there were 110 registered users. From these users only 36 contributed actively by posting a least one message in the discussion forum. Users rated other users 183 time and posted 756 messages in 173 threads over a time period of approximately 3 months. In these three months, the lectures deal every week with a new topic. To define a personalization rule which recommends threads a user could be interested in, we use the existing user interaction with the system.

Mutual Information. Mutual Information measures the information that a random variable provides to the knowledge of an other. Mutual Information between two items is defined as : M = wji p(x, y) log x∈j y∈i p(x, y) p(x)p(y) and in practice it is implemented using the entropy as in [8]. Genre weighting. The previous methods exploit statistics of the users’ rating data to compute item weights. The last method we present here computes weights using description of the items. In the movie recommendation data set, which we are going to use for our experiments, movies are tagged with movie genres.

4 Evaluation For the evaluation we took a snapshot of the Comtella-D system of the Ethics and Computer Science course 2006. Overall, there were 110 registered users. From these users only 36 contributed actively by posting a least one message in the discussion forum. Users rated other users 183 time and posted 756 messages in 173 threads over a time period of approximately 3 months. In these three months, the lectures deal every week with a new topic. To define a personalization rule which recommends threads a user could be interested in, we use the existing user interaction with the system.

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Adaptive Hypermedia and Adaptive Web-Based Systems: 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings by Jan Borchers (auth.), Wolfgang Nejdl, Judy Kay, Pearl Pu, Eelco Herder (eds.)


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