Location-Aware POI Recommendation for Indoor Space by Exploiting WiFi Logs
Joint Authors
Sun, Lin
Chen, Sinong
Zheng, Zengwei
Chen, Yuanyi
Chen, Dan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-31
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Telecommunications Engineering
Abstract EN
Indoor shopping trajectories provide us with a new approach to understanding user’s behaviour pattern in urban shopping mall, which can be derived from user-generated WiFi logs using indoor localization technology.
In this paper, we propose a location-aware Point-of-Interest (POI) recommendation service in urban shopping mall that offers a user a set of indoor POIs by considering both personal interest and location preference.
The POI recommendation service cannot only improve user’s shopping experience but also help the store owner better understand user’s shopping preference and intent.
Specifically, the proposed method consists of two phases: offline modelling and online recommendation.
The offline modelling phase is designed to learn user preference by mining his/her historical shopping trajectories.
The online recommendation phase automatically produces top-k recommended POIs based on the learnt preference.
To demonstrate the utility of our proposed approach, we have performed a comprehensive experiment evaluation on a real-world dataset collected by 468 users over 33 days.
The experimental results show that the proposed recommendation service achieves much better recommendation performance than several existing benchmark methods.
American Psychological Association (APA)
Zheng, Zengwei& Chen, Yuanyi& Chen, Sinong& Sun, Lin& Chen, Dan. 2017. Location-Aware POI Recommendation for Indoor Space by Exploiting WiFi Logs. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1189270
Modern Language Association (MLA)
Zheng, Zengwei…[et al.]. Location-Aware POI Recommendation for Indoor Space by Exploiting WiFi Logs. Mobile Information Systems No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1189270
American Medical Association (AMA)
Zheng, Zengwei& Chen, Yuanyi& Chen, Sinong& Sun, Lin& Chen, Dan. Location-Aware POI Recommendation for Indoor Space by Exploiting WiFi Logs. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1189270
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189270