Publication: Combining heterogeneous sources in an interactive multimedia content retrieval model
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2017-03-01
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Elsevier
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Abstract
Interactive multimodal information retrieval systems (IMIR) increase the capabilities of traditional search systems, by adding the ability to retrieve information of different types (modes) and from different sources. This article describes a formal model for interactive multimodal information retrieval. This model includes formal and widespread definitions of each component of an IMIR system. A use case that focuses on information retrieval regarding sports validates the model, by developing a prototype that implements a subset of the features of the model. Adaptive techniques applied to the retrieval functionality of IMIR systems have been defined by analysing past interactions using decision trees, neural networks, and clustering techniques. This model includes a strategy for selecting sources and combining the results obtained from every source. After modifying the strategy of the prototype for selecting sources, the system is reevaluated using classification techniques.
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Keywords
Multimodal Information Retrieval, User Adaptation, Retrieval Engines, Rule-Based Expert Systems, Information-Retrieval, Image Collection, Search, Algorithm, Fusion
Bibliographic citation
Moreno-Schneider, Julián, Martínez, Paloma, Martínez-Fernández, José L. (2017).Combining heterogeneous sources in an interactive multimedia content retrieval model, Expert Systems with Applications. Expert Systems with Applications, 69, pp. 201-213.