A Survey of Quantum Theory Inspired Approaches to Information Retrieval

July 08, 2020 · The Cartographer · 🏛 ACM Computing Surveys

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"Title-pattern auto-detect: A Survey of Quantum Theory Inspired Approaches to Information Retrieval"

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Authors Sagar Uprety, Dimitris Gkoumas, Dawei Song arXiv ID 2007.04357 Category cs.IR: Information Retrieval Citations 29 Venue ACM Computing Surveys Last Checked 2 days ago

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.