Sabetghadam, Serwah and Lupu, Mihai and Bierig, Ralf and Rauber, Andreas (2015) Reachability Analysis of Graph Modelled Collections. European Conference on Information Retrieval, 9022. pp. 370-381. ISSN 0302-9743

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Abstract

This paper is concerned with potential recall in multimodal information retrieval in graph-based models. We provide a framework to leverage individuality and combination of features of different modalities through our formulation of faceted search. We employ a potential recall analysis on a test collection to gain insight on the corpus and further highlight the role of multiple facets, relations between the objects, and semantic links in recall improvement. We conduct the experiments on a multimodal dataset containing approximately 400,000 documents and images. We demonstrate that leveraging multiple facets increases most notably the recall for very hard topics by up to 316%.

Item Type:	Article
Keywords:	Reachability; Analysis; Graph Modelled Collections; Semantic Relation; Spreading Activation; Image Search; Relevant Object; Reachability Analysis;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15208
Identification Number:	https://doi.org/10.1007/978-3-319-16354-3_41
Depositing User:	Ralf Bierig
Date Deposited:	10 Jan 2022 16:26
Journal or Publication Title:	European Conference on Information Retrieval
Publisher:	Springer
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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