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.
@article{arxiv.1407.1539,
title = {A Framework for Specific Term Recommendation Systems},
author = {Thomas Lüke and Philipp Schaer and Philipp Mayr},
journal= {arXiv preprint arXiv:1407.1539},
year = {2017}
}