440 Huntington Avenue
208 West Village H
Boston, MA 02115
ATTN: Virgil Pavlu, 202 WVH
360 Huntington Avenue
Boston, MA 02115
- Information retrieval
- Machine learning
- PhD, Northeastern University
Virgil Pavlu obtained his PhD in 2008 in information retrieval measures and evaluation. He is interested in information retrieval, including diversity, learning to rank, metasearch, score distribution models, and relevance feedback. Since 2007, he has been involved with the SIGIR conference either as a reviewer or an organizer. He was a coordinator of several TREC and NTCIR tracks.
Pavlu’s current research centers around machine learning algorithms for certain data types, particularly applications to text data. On long text, this includes the extraction and selection of n-grams features, and, on short text, this includes the discovery, indexing and matching of nuggets for tasks like relevance and novelty. One of his projects addresses the representability of text documents in high-dimensional spaces, the study of similarity and distance notions, and the active learning application to crowdsourcing methodologies for obtaining such representation.
Where did you grow up?
What are the specifics of your educational background?
Mathematics was my only field of study until I decided I wanted something more applied.
What are your research interests?
The research we do evolves with both data collected by different organizations and the computational infrastructure available. Sometimes we are problem solvers in a practical sense.
What subjects do you teach?
I teach machine learning, information retrieval, and algorithms.