Location-Aware POI Recommendation for Indoor Space by Exploiting WiFi Logs

Joint Authors

Sun, Lin
Chen, Sinong
Zheng, Zengwei
Chen, Yuanyi
Chen, Dan

Source

Mobile Information Systems

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