Name
Abstract | ||
|---|---|---|
Given a location-based social network, how to find the communities that are highly relevant to query users and have top overall scores in multiple attributes according to user preferences? Typically, in the face of such a problem setting, we can model the network as a multi-attributed road-social network, in which each user is linked with location information and d (≥1) numerical attributes. In pr... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICDE51399.2021.00017 | 2021 IEEE 37th International Conference on Data Engineering (ICDE) |
Keywords | DocType | ISSN |
Social networking (online),Scalability,Computational modeling,Decision making,Approximation algorithms,Search problems,Data models | Conference | 1084-4627 |
ISBN | Citations | PageRank |
978-1-7281-9184-3 | 1 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fangda Guo | 1 | 1 | 0.34 |
| Ye Yuan | 2 | 1 | 0.68 |
| Guoren Wang | 3 | 1 | 0.68 |
| Xiangguo Zhao | 4 | 1 | 0.34 |
| Hao Sun | 5 | 1 | 0.34 |