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Personalized Recommendations for the Web 3D
Citation key Ochab2008
Author Ochab, B. and Neubauer, N. and Obermayer, K.
Title of Book Lecture Notes in Computer Science
Pages 374 – 377
Year 2008
DOI http://dx.doi.org/10.1007/978-3-540-70987-9_57
Editor W. Nejdl et al.
Publisher Springer Verlag
Chapter Adaptive Hypermedia and Adaptive Web-Based Systems
Abstract We introduce the Second Life Location Recommender System (SLLoRS)1. 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.
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