A Framework for Specific Term Recommendation Systems
This work addresses the need for more effective, domain-specific query refinement tools for digital library users, though it appears incremental as it builds on existing research.
The paper introduces the IRSA framework to automatically create domain-specific term recommendation systems for digital libraries, enabling interactive query expansion with minimal effort.
In this paper we present the IRSA framework that enables the automatic creation of search term suggestion or recommendation systems (TS). Such TS are used to operationalize interactive query expansion and help users in refining their information need in the query formulation phase. Our recent research has shown TS to be more effective when specific to a certain domain. The presented technical framework allows owners of Digital Libraries to create their own specific TS constructed via OAI-harvested metadata with very little effort.