Social analytics: Learning from human interactions

ICML 2010 Workshop

25th June, 2010
Haifa, Israel


Call for Participation

Important Dates

Accepted papers


Invited Talks




Call for Participation

Topics and Aims

Our social interactions are often made by electronic means, and are thus recorded in accessible formats. This opens a range of possibilities for studying human interactions from data such as social network sites on the web and cell phone communications. These tasks usually involve massive amount of data (billions of records) that is often quite noisy and even corrupted. Social and artificial networks suggest new challenges in modeling machine learning problems as there are strong spatial and temporal correlations. In this workshop we will hear researchers from academia and industry share their insights about the theory and applications of social analytics. Our focus will be on graph mining and predictive tools that can be used in this area. We will also consider different applications from recommender systems, marketing, search, network optimization and other emerging areas.


If you would like to present at this workshop, please send an email to workshop mailbox no later than 16th May, specifying:
       Authors and affiliations
       A short paper - Length should be no more than 2000 words (Postscript or PDF format)