Sensing and using social context

Brett Adams, Dinh Phung, Svetha Venkatesh

Research output: Contribution to journalArticleResearchpeer-review

28 Citations (Scopus)

Abstract

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

Original languageEnglish
Article number11
JournalACM Transactions on Multimedia Computing, Communications, and Applications
Volume5
Issue number2
DOIs
Publication statusPublished - 1 Dec 2008
Externally publishedYes

Keywords

  • Multimedia browsing
  • Social context

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