Query term suggestion in academic search
bookPart
In this paper, we evaluate query term suggestion in the context of academic professional search. Our overall goal is to support scientists in their information seeking tasks. We set up an interactive search system in which terms are extracted from clicked documents and suggested to the user before every query specification step. We evaluated our method with the iSearch collection of academic information seeking behaviour and crowdsourced term relevance judgements. We found that query term suggestion can significantly improve recall in academic search. © 2014 Springer International Publishing Switzerland.
TNO Identifier
503219
Publisher
Springer Verlag
Source title
Advances in Information Retrieval : 36th European Conference on Information Retrieval, ECIR 2014, 13-16 April 2014, Amsterdam, The Netherlands
Editor(s)
Rijke, M. de
Kenter, T.M.
et al
Kenter, T.M.
et al
Place of publication
Switzerland
Pages
560-566
Files
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