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 only the terms 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.
REF propose a hybrid method to cluster queries by utilizing both query terms and query results, showing that this combination performs better than using either method alone.
Collaborative Querying through a Hybrid Query Clustering Approach
ICADL
Computer Science