Exploring Relevance Judgement Inspired by Quantum Weak Measurement

Authors

  • Tianshu Wang Tianjin University
  • Yuexian Hou Tianjin University
  • Panpan Wang Tianjin University
  • Xiaolei Niu Tianjin University

DOI:

https://doi.org/10.1609/aaai.v32i1.12167

Keywords:

Quantum Weak Measurement, Session Search

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.

AAAI 2018 Proceedings Cover

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Published

2018-04-29

How to Cite

Wang, T., Hou, Y., Wang, P., & Niu, X. (2018). Exploring Relevance Judgement Inspired by Quantum Weak Measurement. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.12167

Issue

Vol. 32 No. 1 (2018): Thirty-Second AAAI Conference on Artificial Intelligence

Section

Student Abstract Track