New PDF release: Adaptive Hypermedia and Adaptive Web-Based Systems: 5th

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 provided including abstracts of three keynotes, four demo papers, and eleven doctoral consortium posters have been conscientiously reviewed and chosen from 185 papers submitted. The papers specialise in pioneering theories, innovations, and leading edge applied sciences to supply dynamic personalization, version, and contextualization of hypermedia assets and services.

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Additional resources 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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2)? 3)? e. 4)?. For all of the following measurements, we used a recommender library5 which implemented the collaborative recommender algorithm described in [5]. 1 Required Amount of Training Data According to the first question we divided our data set into weeks corresponding to the different topics of the lectures. Afterwards, we iterated over the weeks, selecting every week x as training set and tried to calculate the posts a specific user will create in week x + 1. Therefore, we classified the users into different classes, these classes contain sets of users who have posted at least y posts in different threads and at least 1 post in the test set.

In other words, one vector of weights of size M is used for each item prediction. 4 Experimental Evaluation In this section we present the evaluation of BIPO item selection method for neighbor selection. As we mentioned above, our method is computing first the item weights and later is using them to select items considered in the user-touser similarity. We note that PCC between users with BIPO item selection is used while computing the neighborhood of the active user, whereas the standard PCC, without item selection, is used to compute the predicted rating.

In addition, there are two buyers: buyer1 and buyer2, such that buyer1 is searching for a red car below $10,000 and buyer2 is searching for a Mazda car having 2 or less past owners. The proposed protocol consists of two steps executed by the buyers and two steps executed by the sellers. • • • • Step1 (sellers listen): The sellers are tuned to the channels corresponding to the attributes of their objects and wait for queries indicating that the buyers are looking for products represented by pairs.

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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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