Context-aware point-of-interest recommendation algorithm with interpretability

Guoming Zhang, Lianyong Qi, Xuyun Zhang, Xiaolong Xu, Wanchun Dou*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

With the rapid development of mobile Internet, smart devices, and positioning technologies, location-based social networks (LBSNs) are growing rapidly. In LBSNs, point-of-interest (POI) recommendation is a crucial personalized location service that has become a research hotspot. To address extreme sparsity of user check-in data, a growing line of research exploits spatial-temporal information, social relationship, content information, popularity, and other factors to improve recommendation performance. However, the temporal and spatial transfers of user preferences are seldom mentioned in existing works, and interpretability, which is an important factor to enhance credibility of recommendation result, is overlooked. To cope with these issues, we propose a context-aware POI recommendation framework, which integrates users’ long-term static and time-varying preferences to improve recommendation performance and provide explanations. Experimental results over two real-world LBSN datasets demonstrate that the proposed solution has better performance than other advanced POI recommendation approaches.

Original languageEnglish
Title of host publicationCollaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing - 15th EAI International Conference, CollaborateCom 2019, Proceedings
EditorsXinheng Wang, Honghao Gao, Muddesar Iqbal, Geyong Min
PublisherSpringer
Pages745-759
Number of pages15
ISBN (Electronic)9783030301460
ISBN (Print)9783030301453
DOIs
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019 - London, United Kingdom
Duration: 19 Aug 201922 Aug 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume292
ISSN (Print)1867-8211

Conference

Conference15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019
CountryUnited Kingdom
CityLondon
Period19/08/1922/08/19

Keywords

  • Interpretability
  • Location based social network
  • Point-of-interest recommendation

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  • Cite this

    Zhang, G., Qi, L., Zhang, X., Xu, X., & Dou, W. (2019). Context-aware point-of-interest recommendation algorithm with interpretability. In X. Wang, H. Gao, M. Iqbal, & G. Min (Eds.), Collaborative Computing: Networking, Applications and Worksharing - 15th EAI International Conference, CollaborateCom 2019, Proceedings (pp. 745-759). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 292). Springer. https://doi.org/10.1007/978-3-030-30146-0_50