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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
来源:
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.
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页码:374 / 377
页数:4
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