Exploiting hierarchical dependence structures for unsupervised rank fusion in information retrieval

Jorge Hermosillo; Eliseo Morales-González; Francis C. Fernández-Reyes; Manuel Montes-y-Gómez; Jorge Fuentes-Pacheco; Juan Manuel Rendón-Mancha

doi:10.1007/s10844-022-00751-3

JOURNAL ARTICLE

Exploiting hierarchical dependence structures for unsupervised rank fusion in information retrieval

Jorge Hermosillo Eliseo Morales-González Francis C. Fernández-Reyes Manuel Montes-y-Gómez Jorge Fuentes-Pacheco Juan Manuel Rendón-Mancha

Year: 2022 Journal: Journal of Intelligent Information Systems Vol: 60 (3)Pages: 853-876 Publisher: Springer Science+Business Media

DOI: 10.1007/s10844-022-00751-3

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Keywords:

Computer science Relevance (law) Rank (graph theory) Data mining Nonlinear system Artificial intelligence Dependency (UML) Information retrieval Machine learning Mathematics

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Information Retrieval and Search Behavior

Physical Sciences → Computer Science → Information Systems

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Exploiting hierarchical dependence structures for unsupervised rank fusion in information retrieval

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