.png){kind=icon}
返回
Sensing and Using Social Context
.png){kind=icon}
PRE
AI
DOI：10.1145/1413862.1413864.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We present online algorithms to extract social context: Social spheres are labeled locations of significance, represented as convex hulls extracted from GPS traces. Colocation is determined from Bluetooth and GPS to extract social rhythms, patterns in time, duration, place, and people corresponding to real-world activities. Social ties are formulated from proximity and shared spheres and rhythms. Quantitative evaluation is performed for 10+ million samples over 45 man-months. Applications are presented with assessment of perceived utility: Socio-Graph, a video and photo browser with filters for social metadata, and Jive, a blog browser that uses rhythms to discover similarity between entries automatically.
Keyword:
Algorithms
Human Factors
Experimentation
Multimedia browsing
social context
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6
论文数:
2.0K
被引数:
5.4K
机构
引用论文
分享收藏Exploring the propensity to perform social activities: a social network approach.png)
TRANSPORTATION
TRANSPORTATIONIF3.3
PREAI
分享收藏分享收藏分享收藏Focus on science—Membrane ruffling of cancer cells: A parameter of tumour cell motility and invasion
PREAI
分享收藏
查看更多内容