The model of information retrieval based on the theory of hypercomplex numerical systems
D. V. Lande, Ya. A. Kalinovskiy, Yu. E. Boyarinova
TL;DR
This paper introduces a novel information retrieval model based on hypercomplex numerical systems, extending the vector-space model to incorporate fuzzy search capabilities and practical applications.
Contribution
It presents a new model that integrates hypercomplex numerical systems into information retrieval, enhancing fuzzy search and practical implementation.
Findings
The model extends the vector-space approach.
It enables fuzzy search in information retrieval.
Practical applications in hypercomplex systems are demonstrated.
Abstract
The paper provided a description of a new model of information retrieval, which is an extension of vector-space model and is based on the principles of the theory of hypercomplex numerical systems. The model allows to some extent realize the idea of fuzzy search and allows you to apply in practice the model of information retrieval practical developments in the field of hypercomplex numerical systems.
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Taxonomy
TopicsAdvanced Data Processing Techniques · Cognitive Computing and Networks · Information Systems and Technology Applications