By Jan Borchers (auth.), Wolfgang Nejdl, Judy Kay, Pearl Pu, Eelco Herder (eds.)
This booklet constitutes the refereed lawsuits of the fifth overseas convention on Adaptive Hypermedia and Adaptive Web-Based structures, 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, ideas, and leading edge applied sciences to supply dynamic personalization, edition, and contextualization of hypermedia assets and services.
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Additional info for Adaptive Hypermedia and Adaptive Web-Based Systems: 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings
Performance of BIPO item selection methods for diﬀerent error measures 28 L. Baltrunas and F. Ricci shows the robustness of item selection, and clearly shows that the improvements are due to item selection rather than weighting. In fact, there is no single best item weighting approach and the winner depends on the particular error measure used. For example, weighting based on Mutual Information (in ﬁg. 6%. Random item selection and genre labelling methods are the worst, however, they also improve the performance of the baseline method.
This can be done by introducing user adjustable weights in the rule which enable the combination of diﬀerent techniques according to a user’s preferences. Additionally, we plan to engage content-based recommender systems which take the text of the posts into account to improve the quality of recommendations further. References 1. : The personal publication reader, semantic web challenge 2005. In: 4th International Semantic Web Conference (November 2005) 2. : Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions.
Variation of the amount of weeks used as training data All input periods result in similar results. Our expectation that more input weeks could improve the result could not be proven. This also underlines our previous observation that the changes of quality regarding precision and recall seem to follow no rule or trend. 5 Results The results show that a small amount of input data (two posts or energy assignments) is enough to generate precise information. Furthermore, we have shown that the implicit user feedback, given by the posting behavior of users gives much better recommendations than explicit user feedback given by the energy assignment of the users.