Personalized web search using correlation matrix for query expansion

Abstract

In this work we present a comparing analysis of four Query Expansion (QE) techniques. Sharing the concept of term co-occurrence, we start from a simple system based on bigrams, then we moved onto a system based on term proximity through an approach known in the literature as Hyperspace Analogue to Language (HAL), and eventually developing a solution based on co-occurrence at page level.We have implemented the methods in a system prototype, which has been used to conduct several experiments that have produced interesting results. © 2009 Springer Berlin Heidelberg.