Social Computing

Established: July 17, 2016

Groups doing social computing research include:

People

Groups

Social Computing – MSR Asia

Established: July 1, 2015

In the Social Computing Group of Microsoft Research Asia (MSRA), we engage in interdisciplinary research which intersects computer science with social science, psychology and cognitive science. Based on large scale human behavioral data on various heterogeneous social platforms, we aim to gain an in depth understanding of users and provide them with intelligent and personalize online experience. Our current research focus is on user modeling, recommendation system, spatio-temporal data mining, graph data mining, emotion analysis, and personalized chat. Our team is well-known in the fields of social computing, ubiquitous computing and data mining. Also over the years, we have been closely collaborating with various AI product teams in Microsoft.

Projects

Colla: a Digital Collaborator Seeker

Established: March 1, 2016

Colla, abbreviation of “Collaboration Bot”, is a bot who can help people collaborate with their colleagues in a more convenient way. Colla could find the right person with a particular expertise and arrange online discussions among users. In a corporation,…

DiPsy: A digital psychologist

Established: March 14, 2016

One out of four people in the world have experienced mental illness at some point in their lives. DiPsy is a digital psychologist presented as a personalized chatbot, who can evaluate, diagnose, treat and study users' mental processes through natural…

DIOSI: Dynamics of intimacy from online social interactions

Established: March 1, 2014

Friendships are dynamic. In this project, we uncover the dynamics of tie strength and online social interactions in terms of various aspects, such as reciprocity, temporality, and contextually. Based upon these dynamics, we build a learning to rank framework to…

LifeSpec: Learning the Spectrum of Urban Lifestyles

Established: December 1, 2012

Recent years have witnessed growing availability of human behavioral data, which provides us unprecedented opportunities to gain more in depth understanding of users in both the physical world and cyber world. In this project, we aim to develop computational models…