A Framework for Specific Term Recommendation Systems

TL;DR

This paper introduces the IRSA framework, enabling easy creation of domain-specific search term suggestion systems for digital libraries, improving query refinement with minimal effort.

Contribution

The IRSA framework simplifies building domain-specific term recommendation systems using OAI-harvested metadata, enhancing search effectiveness.

Findings

IRSA enables quick development of specific TS.

Domain-specific TS improve search refinement.

Framework leverages OAI metadata for customization.

Abstract

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.