Query classification via Topic Models for an art image archive
Dieu-Thu Le, Raffaella Bernardi, Ed Vald · 2011
In recent years, there has been an increas-ing amount of literature on query classi-fication. Click-through information has been shown to be a useful source for im-proving this task. However, far too little attention has been paid to queries in very specific domains such as art, culture and history. We propose an approach that ex-ploits topic models built from a domain specific corpus as a mean to enrich both the query and the categories against which the query need to be classified. We take an Art Library as the case study and show that topic model enrichment improves over the enrichment via click-through consider-ably. 1