Numerical Algorithms for the scalable computation of a customized ranking of the web for every search user.
Data mining, information extraction, and data visualization systems for sentiment analysis on the social web.
Models in information retrieval that seek to find the right person, rather than the right document, to answer a user's information need.
Algorithms, social and market mechanisms, and peer-level protocols for search in distributed networks.
Probabilistic models for text mining and document clustering, and their implication towards algorithms and interfaces in search.
Sep Kamvar is a consulting professor of Computational Mathematics at Stanford University.
moreCME 340: Computational Methods in Data Mining
CS294H: Social Software