Low-Complexity Detection of POI Boundaries Using Geo-Tagged Tweets
Author:
Affiliation:
1. Dankook University, Yongin 448-701, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2830657.2830663
Reference15 articles.
1. Time-aware point-of-interest recommendation
2. Exploiting geographical influence for collaborative point-of-interest recommendation
3. A location-based news article recommendation with explicit localized semantic analysis
4. Delineating imprecise regions via shortest-path graphs
5. Footprint generation using fuzzy-neighborhood clustering
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A City Adaptive Clustering Framework for Discovering POIs with Different Granularities;Lecture Notes in Computer Science;2020
2. GeoSocialBound;Proceedings of the Third International ACM SIGMOD Workshop on Managing and Mining Enriched Geo-Spatial Data;2016-06-26
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