1 research outputs found
Reachability Analysis of Graph Modelled Collections
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%