Session:

LBP - Late Breaking Papers

Title:

Using Genetic Programming to Evolve Weighting Schemes for the Vector Space Model of Information Retrieval

Authors:

Ronan Cummins
Colm O'Riordan

Abstract:

Term weighting in many Information Retrieval models is of crucial importance in the research and development of accurate retrieval systems. This paper explores a method to automatically determine suitable term weighting schemes for the vector space model. Genetic Programming is used to automatically evolve weighting schemes that return a high average precision. These weighting functions are tested on well-known test collections and compared to the tf-idf based weighting scheme using standard Information Retrieval performance metrics.