A Survey of Quantum Theory Inspired Approaches to Information Retrieval
Information Retrieval
2020-07-10 v1
Abstract
Since 2004, researchers have been using the mathematical framework of Quantum Theory (QT) in Information Retrieval (IR). QT offers a generalized probability and logic framework. Such a framework has been shown capable of unifying the representation, ranking and user cognitive aspects of IR, and helpful in developing more dynamic, adaptive and context-aware IR systems. Although Quantum-inspired IR is still a growing area, a wide array of work in different aspects of IR has been done and produced promising results. This paper presents a survey of the research done in this area, aiming to show the landscape of the field and draw a road-map of future directions.
Keywords
Cite
@article{arxiv.2007.04357,
title = {A Survey of Quantum Theory Inspired Approaches to Information Retrieval},
author = {Sagar Uprety and Dimitris Gkoumas and Dawei Song},
journal= {arXiv preprint arXiv:2007.04357},
year = {2020}
}
Comments
Accepted for publication at ACM Computing Surveys on May 20, 2020