Personalized POI Recommendation Based on Subway Network Features and Users’ Historical Behaviors
Joint Authors
Yan, Danfeng
Zhao, Xuan
Guo, Zhengkai
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Current recommender systems often take fusion factors into consideration to realize personalize point-of-interest (POI) recommendation.
Historical behavior records and location factors are two kinds of significant features in most of recommendation scenarios.
However, existing approaches usually use the Euclidean distance directly without considering the traffic factors.
Moreover, the timing characteristics of users’ historical behaviors are not fully utilized.
In this paper, we took the restaurant recommendation as an example and proposed a personalized POI recommender system integrating the user profile, restaurant characteristics, users’ historical behavior features, and subway network features.
Specifically, the subway network features such as the number of passing stations, waiting time, and transfer times are extracted and a recurrent neural network model is employed to model user behaviors.
Experiments were conducted on a real-world dataset and results show that the proposed method significantly outperforms the baselines on two metrics.
American Psychological Association (APA)
Yan, Danfeng& Zhao, Xuan& Guo, Zhengkai. 2018. Personalized POI Recommendation Based on Subway Network Features and Users’ Historical Behaviors. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1215981
Modern Language Association (MLA)
Yan, Danfeng…[et al.]. Personalized POI Recommendation Based on Subway Network Features and Users’ Historical Behaviors. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1215981
American Medical Association (AMA)
Yan, Danfeng& Zhao, Xuan& Guo, Zhengkai. Personalized POI Recommendation Based on Subway Network Features and Users’ Historical Behaviors. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1215981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215981