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Dissertation Information for Victor Lavrenko

NAME:
- Victor Lavrenko

DEGREE:
- Ph.D.

DISCIPLINE:
- Computer Science

SCHOOL:
- University of Massachusetts, Amherst (USA) (2004)

ADVISORS:
- James Allan
- W. Bruce Croft

COMMITTEE MEMBERS:
- Shlomo Zilberstein
- Christopher Raphael

MPACT Status: Fully Complete

Title: A generative theory of relevance

Abstract: We present a new theory of relevance for the field of Information Retrieval. Relevance is viewed as a generative process, and we hypothesize that both user queries and relevant documents represent random observations from that process. Based on this view, we develop a formal retrieval model that has direct applications to a wide range of search scenarios. The new model substantially outperforms strong baselines on the tasks of ad-hoc retrieval, cross-language retrieval, handwriting retrieval, automatic image annotation, video retrieval, and topic detection and tracking. Empirical success of our approach is due to a new technique we propose for modeling exchangeable sequences of discrete random variables. The new technique represents an attractive counterpart to existing formulations, such as multinomial mixtures, pLSI and LDA: it is effective, easy to train, and makes no assumptions about the geometric structure of the data.

MPACT Scores for Victor Lavrenko

A = 0
C = 0
A+C = 0
T = 0
G = 0
W = 0
TD = 0
TA = 0
calculated 2009-06-14 17:36:16

Advisors and Advisees Graph

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Students under Victor Lavrenko

ADVISEES:
- None

COMMITTEESHIPS:
- None