AAAI Publications, Thirty-Second AAAI Conference on Artificial Intelligence

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Exploring Relevance Judgement Inspired by Quantum Weak Measurement
Tianshu Wang, Yuexian Hou, Panpan Wang, Xiaolei Niu

Last modified: 2018-04-29

Abstract


Quantum Theory (QT) has been applied in a number of fields outside physics, e.g. Information Retrieval (IR). A series of pioneering works have verified the necessity to employ QT in IR user models. In this paper, we explore the process of relevance judgement from a novel perspective of the two state vector quantum weak measurement (WM) by considering context information in time domain. Experiments are carried out to verify our arguments.

Keywords


Quantum Weak Measurement; Session Search

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