TY - JOUR
T1 - A Survey of Quantum Theory Inspired Approaches to Information Retrieval
AU - Uprety, Sagar
AU - Gkoumas, Dimitris
AU - Song, Dawei
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/9/28
Y1 - 2020/9/28
N2 - Since 2004, researchers have been using the mathematical framework of quantum theory in information retrieval (IR). Quantum theory offers a generalized probability and logic framework. Such a framework has been shown to be 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 article 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.
AB - Since 2004, researchers have been using the mathematical framework of quantum theory in information retrieval (IR). Quantum theory offers a generalized probability and logic framework. Such a framework has been shown to be 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 article 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.
KW - Information retrieval
KW - quantum theory
KW - quantum-inspired models
UR - http://www.scopus.com/inward/record.url?scp=85094325167&partnerID=8YFLogxK
U2 - 10.1145/3402179
DO - 10.1145/3402179
M3 - Article
AN - SCOPUS:85094325167
SN - 0360-0300
VL - 53
JO - ACM Computing Surveys
JF - ACM Computing Surveys
IS - 5
M1 - 3402179
ER -