Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands
Author:
Affiliation:
1. Swinburne University of Technology, Melbourne, Australia
2. Soochow University, Suzhou, China
3. The Chinese University of Hong Kong, Hong Kong, China
4. Deakin University, Geelong, Australia
Funder
Australian Research Council
National Natural Science Foundation of China
Research Grants Council of Hong Kong
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3394486.3403114
Reference24 articles.
1. A general framework for geo-social query processing
2. An optimal and progressive approach to online search of top-k influential communities
3. Contextual Community Search Over Large Social Networks
4. Maximum co-located community search in large scale social networks
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