research-article

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

Authors:

Flora D. Salim,

Mark SandersonAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 16, Issue 3

Article No.: 28, Pages 1 - 25

https://doi.org/10.1145/3393692

Published: 13 August 2020 Publication History

Abstract

This article investigates the cyber-physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators. Our analysis shows that many users exhibit a high correlation between their cyber activities and their physical context. To find this correlation,propose a mechanism to semantically label a physical space with rich categorical information from DBPedia concepts and compute a contextual similarity that represents a user’s activities with the mall context. We demonstrate the application of cyber-physical contextual similarity in two situations: user visit intent classification and future location prediction. The experimental results demonstrate that exploitation of contextual similarity significantly improves the accuracy of such applications.

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Cited By

Zhou ZZhou XGuo BWang SHe T(2024)Multi-sensor Data-driven Route Prediction in Instant Delivery with a 3-Conversion NetworkACM Transactions on Sensor Networks10.1145/363940520:2(1-21)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3639405
Nejadshamsi SEicker UWang CBentahar J(2023)Data sources and approaches for building occupancy profiles at the urban scale – A reviewBuilding and Environment10.1016/j.buildenv.2023.110375238(110375)Online publication date: Jun-2023
https://doi.org/10.1016/j.buildenv.2023.110375
Sun LZhong ZZhang CZhang YWu D(2022)TESS: multivariate sensor time series prediction for building sustainable smart citiesACM Transactions on Sensor Networks10.1145/3573200Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3573200
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Index Terms

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
1. Information systems
  1. World Wide Web
    1. Online advertising
      1. Content match advertising
    2. Web mining
      1. Web log analysis

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Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 16, Issue 3

August 2020

263 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3399417

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 13 August 2020

Online AM: 07 May 2020

Accepted: 01 April 2020

Revised: 01 February 2020

Received: 01 March 2019

Published in TOSN Volume 16, Issue 3

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Cited By

Zhou ZZhou XGuo BWang SHe T(2024)Multi-sensor Data-driven Route Prediction in Instant Delivery with a 3-Conversion NetworkACM Transactions on Sensor Networks10.1145/363940520:2(1-21)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3639405
Nejadshamsi SEicker UWang CBentahar J(2023)Data sources and approaches for building occupancy profiles at the urban scale – A reviewBuilding and Environment10.1016/j.buildenv.2023.110375238(110375)Online publication date: Jun-2023
https://doi.org/10.1016/j.buildenv.2023.110375
Sun LZhong ZZhang CZhang YWu D(2022)TESS: multivariate sensor time series prediction for building sustainable smart citiesACM Transactions on Sensor Networks10.1145/3573200Online publication date: 8-Dec-2022
https://dl.acm.org/doi/10.1145/3573200
Wang CFerrando MCausone FJin XZhou XShi X(2022)Data acquisition for urban building energy modeling: A reviewBuilding and Environment10.1016/j.buildenv.2022.109056(109056)Online publication date: Apr-2022
https://doi.org/10.1016/j.buildenv.2022.109056
Salim F(2021)Learning Spatio-Temporal Behavioural Representations for Urban Activity ForecastingCompanion Proceedings of the Web Conference 202110.1145/3442442.3451892(347-348)Online publication date: 19-Apr-2021
https://dl.acm.org/doi/10.1145/3442442.3451892
Dong BLiu YFontenot HOuf MOsman MChong AQin SSalim FXue HYan DJin YHan MZhang XAzar ECarlucci S(2021)Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A reviewApplied Energy10.1016/j.apenergy.2021.116856293(116856)Online publication date: Jul-2021
https://doi.org/10.1016/j.apenergy.2021.116856

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