Providing ranked relevant results for web database queries

Abstract

Often Web database users experience difficulty in articulating their needs using a precise query. Providing ranked set of possible answers would benefit such users. We propose to provide ranked answers to user queries by identifying a set of queries from the query log whose answers are relevant to the given user query. The relevance detection is done using a domain and end-user independent content similarity estimation technique.