A Survey of Quantum Theory Inspired Approaches to Information Retrieval

Uprety, Sagar; Gkoumas, Dimitrios and Song, Dawei (2020). A Survey of Quantum Theory Inspired Approaches to Information Retrieval. ACM Computing Surveys, 53(5), article no. 98.

DOI: https://doi.org/10.1145/3402179

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.

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About

• Item ORO ID
• 71186
• Item Type
• Journal Item
• ISSN
• 1557-7341
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Quantum information Access and Retrieval Theory	721321	EC (European Commission): FP(inc.Horizon2020, H2020, ERC)

• Keywords
• information retrieval; quantum theory; quantum-inspired models
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2020 Association for Computing Machinery
• Related URLs
• • https://arxiv.org/abs/2007.04357(Other)
• Depositing User
• Dawei Song