Recommending Locations Based on Users’ Periodic Behaviors
Joint Authors
Xu, Bing
Ding, Zhijun
Chen, Hongzhong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Telecommunications Engineering
Abstract EN
The research of location recommendation system is an important topic in the field of LBSN (Location-Based Social Network).
Recently, more and more researchers began focusing on researching how to recommend locations based on user’s life behavior.
In this paper, we proposed a new model recommending locations based on user’s periodic behaviors.
In view of multiple periodic behaviors existing in time series, an algorithm which can mine all periods in time series is proposed in this paper.
Based on the periodic behaviors, we recommend locations using item-based collaborative filtering algorithm.
In this paper, we will also introduce our recommendation system which can collect users’ GPS trajectory, mine user’s multiple periods, and recommend locations based user’s periodic behavior.
American Psychological Association (APA)
Xu, Bing& Ding, Zhijun& Chen, Hongzhong. 2017. Recommending Locations Based on Users’ Periodic Behaviors. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189193
Modern Language Association (MLA)
Xu, Bing…[et al.]. Recommending Locations Based on Users’ Periodic Behaviors. Mobile Information Systems No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1189193
American Medical Association (AMA)
Xu, Bing& Ding, Zhijun& Chen, Hongzhong. Recommending Locations Based on Users’ Periodic Behaviors. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189193
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189193