IRJul 8, 2020

A Survey of Quantum Theory Inspired Approaches to Information Retrieval

arXiv:2007.04357v131 citations
Originality Synthesis-oriented
AI Analysis

It provides a comprehensive overview for researchers in information retrieval, though it is incremental as a survey paper.

This paper surveys research applying quantum theory's mathematical framework to information retrieval, showing it can unify representation, ranking, and user cognitive aspects to enable more dynamic and context-aware systems.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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