Adapting Query Expansion to Search Proficiency
Corrado Boscarino, Vera Hollink, Arjen P. de Vries, Ben Carterette, Evangelos Kanoulas, Paul David Clough, Mark Sanderson · Data Archiving and Networked Services (DANS) · 2012
We argue that query expansion (QE) based on the full ses- sion improves the overall search experience provided that we know how to adapt the QE weighting schema to a user's search proficiency. We propose a strategy to predict search ability from session parameters. Us- ing an exponential model and these metrics we set user dependent QE coefficients. We evaluate this approach on TREC 2011 session track data.