RT Journal Article
T1 Combining heterogeneous sources in an interactive multimedia content retrieval model
A1 Moreno Schneider, Julian
A1 Martínez Fernández, Paloma
A1 Martínez Fernández, José Luis
AB 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.
PB Elsevier
SN 0957-4174
YR 2017
FD 2017-03-01
LK https://hdl.handle.net/10016/31858
UL https://hdl.handle.net/10016/31858
LA eng
NO This work was partially supported by eGovernAbility-Access project (TIN2014-52665-C2-2-R).
DS e-Archivo
RD 1 sept. 2024