A framework for specific term recommendation systems

Authors:
Thomas Lüke;Philipp Schaer;Philipp Mayr
Affiliations:
GESIS - Leibniz-Institute for the Social Sciences, Cologne, Germany;GESIS - Leibniz-Institute for the Social Sciences, Cologne, Germany;GESIS - Leibniz-Institute for the Social Sciences, Cologne, Germany
Venue:
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Year:
2013

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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.