论文标题
量子理论启发信息检索方法的调查
A Survey of Quantum Theory Inspired Approaches to Information Retrieval
论文作者
论文摘要
自2004年以来，研究人员一直在信息检索（IR）中使用量子理论（QT）的数学框架。 QT提供了广义的概率和逻辑框架。已经显示出这种框架能够统一IR的表示，排名和用户认知方面，并有助于开发更具动态，自适应和上下文感知的IR系统。尽管量子启发的IR仍然是一个增长的领域，但在IR的不同方面进行了各种各样的工作，并产生了有希望的结果。本文介绍了对该领域进行的研究的调查，旨在展示该领域的景观并绘制未来方向的路线图。
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.
