There has been a huge upsurge in the data available on the web making it voluminous over the last few years. Most users who search the internet for the medical information have no adequate knowledge about the medical domain. Understanding queries plays a huge role in helping users navigate through the abundant data and find the required information. Query feedbacks generally drift from the topic due to the various vocabulary mismatches or due to the ambiguous synonyms. A system has been developed to bridge the gap between expert users and the laypersons. We develop a system where by users query is enhanced by adding terms provided by experts. The appropriate query term is added from a medical expert vocabulary which is selected by the classifier based on the euclidean distance and a term based methodology for deciphering the query reformulation actions. The proposed system performs well in terms of precision and recall.
AN EFFICIENT APPROACH TO QUERY REFORMULATION IN WEB SEARCH
