Jamie Callan
Location: (Pittsburgh, PA)
Personal Research Web Page: http://www.cs.cmu.edu/~callan/
Keywords: information retrieval, social media, text mining, machine learning
Posted on: Wednesday, May 5th, 2010
Broad Research Area: Databases / Information Retrieval / Data Mining, Information Systems / Information Science, Social Computing / Social Informatics
Research Interests:
The Social Analytics group at Carnegie Mellon’s iLab uses language analysis, text mining, information retrieval, and machine learning to investigate research questions related to how people use social media such as wikis and blogs. For example, how do opinion and knowledge diffuse through an organization? What is the relationship between physical network relationships and network relationships established through citation, replying and posting behaviors in blogs? and What are the alternative ways in which expertise can be characterized (e.g., bag of words) and how does the availability and access to such expertise determine outcomes, be they of organizations or of individuals? Research at the iLab is data-driven, and uses both data acquired from public Internet sites as well as unique datasets provided by corporate partners. This project is led by Jamie Callan and Ramayya Krishnan (http://www.heinz.cmu.edu/faculty-and-research/faculty-profiles/faculty-details/index.aspx?faculty_id=51).
Contact Information:
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