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.
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Biancalana, C., Lapolla, A., Micarelli, A. (2009). Personalized Web Search Using Correlation Matrix for Query Expansion. In: Cordeiro, J., Hammoudi, S., Filipe, J. (eds) Web Information Systems and Technologies. WEBIST 2008. Lecture Notes in Business Information Processing, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01344-7_14
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DOI: https://doi.org/10.1007/978-3-642-01344-7_14
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