Triibe - Tracking Indoor Information Behaviour

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

M Kaur, FD Salim, Y Ren, J Chan, M Tomko, M Sanderson

2020-08-01

This article investigates the cyber-physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) W..

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces

Yongli Ren, Martin Tomko, Flora D Salim, Jeffrey Chan, Mark Sanderson

2018-07-06

Understanding the association between customer demographics and behaviour is critical for operators of indoor retail spaces. This ..

A Location-Query-Browse Graph for Contextual Recommendation

Y Ren, M Tomko, FD Salim, J Chan, CLA Clarke, M Sanderson

2018-02-01

Traditionally, recommender systems modelled the physical and cyber contextual influence on people's moving, querying, and browsing..

Contextual location imputation for confined wifi trajectories

E Naghizade, J Chan, Y Ren, M Tomko

2018-01-01

The analysis of mobility patterns from large-scale spatio-temporal datasets is key to personalised location-based applications. Da..

Identifying in-app user actions from mobile web logs

B Priyogi, M Sanderson, F Salim, J Chan, M Tomko, Y Ren

2018-01-01

We address the problem of identifying in-app user actions from Web access logs when the content of those logs is both encrypted (t..

D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate

Y Ren, FD Salim, M Tomko, YB Bai, J Chan, KK Qin, M Sanderson

2017-06-01

Currently, large amounts of Wi-Fi access logs are collected in diverse indoor environments, but cannot be widely used for fine-gra..

Analyzing Web behavior in indoor retail spaces

Y Ren, M Tomko, FD Salim, K Ong, M Sanderson

2017-01-01

We analyze 18- million rows of Wi-Fi access logs collected over a 1-year period from over 120,000 anonymized users at an inner cit..

Understanding indoor behavior: Where, what, with whom?

M Tomko

2017-01-01

Capturing and understanding users' context is key to the success of applications such as computational advertising and recommender..

A new method for improving Wi-Fi-based indoor positioning accuracy

YB Bai, S Wu, G Retscher, A Kealy, L Holden, M Tomko, A Borriak, B Hu, HR Wu, K Zhang

2014-07-03

Wi-Fi- and smartphone-based positioning technologies are playing a more and more important role in location-based service industri..

A new approach for indoor customer tracking based on a single Wi-Fi connection

YB Bai, S Wu, Y Ren, K Ong, G Retscher, A Kealy, M Tomko, M Sanderson, H Wu, K Zhang

2014-01-01

© 2014 IEEE. Wi-Fi and smartphone based location tracking technologies have been widely applied in location based services (LBS). ..

How People Use the Web in Large Indoor Spaces

Yongli Ren, Martin Tomko, Kevin Ong, Mark Sanderson

2014-01-01

We report a preliminary study of mobile Web behaviour in a large indoor retail space. By analysing a Web log collected over a 1 ye..