1993

Statistical Modeling of Relevance Judgments for Probabilistic Retrieval of American Case Law

Daniel P. Dabney. Statistical Modeling of Relevance Judgments for Probabilistic Retrieval of American Case Law. Ph.D. dissertation. Advisor: William Cooper. University of California, Berkeley. 1993.

Abstract

Studies the use of Logistic regression methods to meld relevance clues into a single probability of relevance estimate. The model is applied to the domain of American case law.

Research

Last updated:

September 20, 2016