An Adaptive POI Recommendation Algorithm by Integrating User's Temporal and Spatial Features in LBSNs-Reference-Cited by-同舟云学术

An Adaptive POI Recommendation Algorithm by Integrating User's Temporal and Spatial Features in LBSNs

Published:2020-07-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Conference on Data Science and Information Technology
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Author:

Li Miao¹,Zheng Wenguang¹,Xiao Yingyuan¹,Jiao Xu²

Affiliation:

1. Tianjin Key Laboratory of Intelligence Computing & New Software Technology, Tianjin University of Technology, Tianjin, China

2. Department of Liberal Education, Tianjin Foreign Studies University, Tianjin, China

Publisher

ACM

Reference13 articles.

1. Modelling user activity preference by leveraging user spatial temporal characteristics in LBSNs;Yang D.;IEEE Transactions on System, Man and Cybernetics

2. Location-based and preference-aware recommendation using sparse geo-social networking data

3. Exploring Spatial and Mobility Pattern’s Effects for Collaborative Point-of-Interest Recommendation

4. Geo-social recommendations based on incremental tensor reduction and local path traversal

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