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.
- Nov. 2018, we wrote an article “Personalized Recommendation Systems: Five Hot Research Topics You Must Know”, find the article here.
- May 2018, we organized the SMP Forum on Explainable Recommendation Systems
- Sep. 2017, we organized the SMP Forum on Recommendation Systems in the 6th National Conference on Social Media Processing, find slides here.
- May 2017, our book “Mobile Data Mining” (in Chinese) has been published.
- May 2017, our work on text generation has been used in generating XiaoIce’s poem collection.
- May 2017, our work on personality inference and matching has been adopted by XiaoIce Social Role in several influential China TV show such as Tianjin Satellite TV’s “Only You”.
- Jan. 2017, news about Project PrivTree: Blurring your “where” for location privacy .
- Jan. 2017, LifeSpec dataset (online footprints of 61640 users) has been made available here.
- Dec. 2016, we wrote an article (in Chinese) which summarized the research projects in our group.
- Nov. 2016, we organized an AI and Psychology track in Microsoft Asia Faculty Summit 2016, find video here.
- Oct. 2016, Jianxun Lian won the second place in Cross-Device Entity Linking Challenge, CIKM Cup 2016, find report here.
- Sep. 2016, ACM SIGSPATIAL China 2016 Workshop was held in Shenzhen, China, find slides here.
- Aug. 2016, won the best student paper award in KDD 2016 applied data science track: Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang, Contextual Intent Tracking for Personal Assistants
- Jun. 2016, won the first place in Microsoft OneML Recommendation Systems Hackathon (Jianxun Lian, Fuzheng Zhang, Xing Xie)