Collaborative querying through a hybrid query clustering approach

Abstract

Harnessing previously issued queries to facilitate collaborative

querying is an approach that can help users in digital libraries and other

information systems better meet their information needs. Here, the kernel step

is to identify and cluster similar queries by mining the query logs. However

because of the short lengths of queries, it is relatively difficult to cluster queries

effectively using on the terms used since they cannot convey enough

information. This paper introduces a hybrid method to cluster queries by

utilizing both the query terms and the results returned to queries. Experiments

show that this method outperforms existing query clustering techniques.