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：
ADAPTIVE HYPERMEDIA AND ADAPTIVE WEB-BASED SYSTEMS | 2008年 / 5149卷
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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