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http://hdl.handle.net/10397/105674
Title: | Understanding customer behaviour in urban shopping mall from WiFi logs | Authors: | Chen, Y Zhang, J Guo, M Cao, J |
Issue Date: | 2017 | Source: | 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 13-17 March 2017, Big Island, HI, USA, p. 50-53 | Abstract: | Traditional ways of understanding customer behaviour are mainly based on predominantly field surveys, which are not effective as they require labor-intensive survey. As mobile devices and ubiquitous sensing technologies are becoming more and more pervasive, user-generated data from these platforms are providing rich information to uncover customer preference. In this study, we propose a shop recommendation model for urban shopping mall by exploiting user-generated WiFi logs to learn customer preference. Specifically, the proposed model consists of two phases: 1) offline learning customer's preference from their check-in activities; 2) online recommendation by fusing the learnt preference and temporal influence. We have performed a comprehensive experiment evaluation on a real dataset collected by over 39,000 customers during 7 months, and the experiment results show the proposed recommendation model outperforms state-of-the-art methods. | Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-5090-4338-5 (Electronic) 978-1-5090-4339-2 (Print on Demand(PoD)) |
DOI: | 10.1109/PERCOMW.2017.7917519 | Rights: | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Yuanyi Chen, Jinyu Zhang, Minyi Guo and Jiannong Cao, "Understanding customer behaviour in urban shopping mall from WiFi logs," 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kona, HI, 2017, pp. 50-53 is available at https://doi.org/10.1109/PERCOMW.2017.7917519. |
Appears in Collections: | Conference Paper |
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