Numerical algorithms for scalably computing a customized ranking of the web for every search user.
Data mining, information extraction, and data visualization systems for search and sentiment analysis on the social web.
Models in information retrieval that seek to find people, rather than documents, to answer a user's information need.
Algorithms, social mechanisms, and peer-level protocols for information retrieval and management in distributed networks.
Probabilistic models for text mining and document clustering, and their implications towards search algorithms.
Sep Kamvar is a consulting professor of Computational Mathematics at Stanford University.
moreCME 340: Computational Methods in Data Mining
CS 294H: Social Software