By Sean Bechhofer, Yeliz Yesilada, Bernard Horan, Carole Goble (auth.), Vincent P. Wade, Helen Ashman, Barry Smyth (eds.)
This publication constitutes the refereed court cases of the 4th foreign convention on Adaptive Hypermedia and Adaptive Web-Based structures, AH 2006, held in Dublin, eire in June 2006.
The 22 revised complete papers and 19 revised brief papers provided including abstracts of three keynotes, 12 poster papers, and 14 doctoral consortium posters have been rigorously reviewed and chosen from 122 papers submitted. The papers concentrate on pioneering theories, strategies, and leading edge applied sciences to supply dynamic personalization, model, and contextualization of hypermedia assets and services.
Read Online or Download Adaptive Hypermedia and Adaptive Web-Based Systems: 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings PDF
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Additional resources for Adaptive Hypermedia and Adaptive Web-Based Systems: 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings
The experiments showed that for a small number of rated movies in the UMs (typical for most users), the accuracy of content-based predictions is higher than that of collaborative-based prediction. This leads to the conclusion that cross-technique mediation of the UMs is feasible, and can also improve the quality of the personalization provided. The discussed prediction mechanism is quite simple, as it assigns equal weights to different categories of the UM data. In the future, we plan to exploit various learning techniques to infer the weights of the categories and specific features within the categories.
This brings up the Evidence Tool which gives an explanation of the value of the component in terms of the evidence that Scrutable Adaptation: Because We Can and Must 17 determines its value. The Highlight Tool, also available at the right of each screen, changes the main adapted page to show which aspects were included for this user, along with the condition that caused the selection. Similarly, omitted sections are indicated. The profiles tool shows the user model, its possible resolved values, current value and an explanation of the meanings of the values.
We believe this will significantly improve the accuracy of the personalization provided and strengthen the proposed cross-technique mediation. , the reverse translation, from content-based to collaborative UMs) and in different application domains. Cohen, “Recommendation as Classification: Using Social and Content-Based Information in Recommendation”, in proc. of the AAAI Conference, 1998. Berkovsky, “Decentralized Mediation of User Models for a Better Personalization”, in proc. of the AH Conference, 2006.
Adaptive Hypermedia and Adaptive Web-Based Systems: 4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings by Sean Bechhofer, Yeliz Yesilada, Bernard Horan, Carole Goble (auth.), Vincent P. Wade, Helen Ashman, Barry Smyth (eds.)