Adaptive Hypermedia 2008
Program  > Short Papers and Demos  > Demo Abstracts 
Demo Papers - Abstracts

Convergence of Web and TV Broadcast Data for Adaptive Content Access and Navigation (page 361)

Pieter Bellekens, Kees van der Sluijs, Lora Aroyo, and Geert-Jan Houben

iFanzy is a personalized TV guide application aiming at offering users television content in a personalized and context-sensitive way. It consists of a client-server system with multiple clients and devices such that the user can ubiquitously use TV set-top box, mobile phone and Web-based applications to select and receive personalised TV content. TV content and background data from various heterogeneous sources is integrated to provide a transparent knowledge structure, which allows the user to navigate and browse the vast content sets nowadays available. Semantic Web techniques are applied for enriching and aligning Web data and (live) broadcast content. The resulting RDF/OWL knowledge structure is the basis for iFanzy's main functionality, like semantic search of the broadcast content and execution of context-sensitive recommendations.

Recommending Background Information and Related Content in Web 2.0 Portals (page 366)

Andreas Nauerz, Birgitta König-Ries, and Martin Welsch

Modern Web 2.0 Portals have become highly collaborative participation platforms. Users do not only retrieve information, they even contribute content. Due to the large number of di erent users contributing, Web 2.0 sites grow quickly and, most often, in a more uncoordinated way than centrally controlled sites. Finding relevant information can hence become a tedious task.We will demonstrate a solution allowing for the in-place, in-context recommendation of background information with respect to a certain term or topic and for the recommendation of related content being available in the system. Our solution is based on the extraction of enriched units of information which we either gain automatically via unstructured data analysis or by analyzing user-applied annotations. Our main concepts have been embedded and evaluated within IBM's WebSphere Portal.

Adaptive Portals: Context Adaptive Navigation through Large Information Spaces (page 370)

Andreas Nauerz, Martin Welsch, and Birgitta König-Ries

Today, Portals provide users with a central point of access to company-wide information. Initially they focused on presenting the most valuable and widely used information to users for efficient information access. But the amount of information accessible quickly grew and finding the right information can hence become a tedious task. We will demonstrate a solution for adapting the Portal's structure, especially its navigation and page structures. We allow for advanced adaptations that each user can perform manually as well as for automated adaptations based on user- and context models reflecting users' interests and preferences. Our main concepts have been embedded and evaluated within IBM's WebSphere Portal.

Personalized Recommendations for the Web 3D (page 374)

Bartek Ochab, Nicolas Neubauer, and Klaus Obermayer

We introduce the Second Life Location Recommender System (SLLoRS). This system lets users rate and tag locations within the 3D environment Second Life in order to provide personalized recommendations on a collaborative basis. We demonstrate the system as an in-world application and explore some of the general challenges of applying recommendation systems to 3D online environments, like the implementation of data-intensive applications facing restricted computational resources and the segmentation of recommendations in a continuous input space.

User Modeling Inc. Leibniz University Hanover L3S Research Center Adaptive Hypermedia 2008 Conference Website
Eelco Herder (L3S Research Center, Hannover, Germany)