Personalized recommendations for the Web 3D

被引:0
|
作者
Ochab, Bartek [1 ]
Neubauer, Nicolas [1 ]
Obermayer, Klaus [1 ]
机构
[1] Tech Univ Berlin, Neural Informat Proc Grp, D-1000 Berlin, Germany
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:374 / 377
页数:4
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