Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation

Exploiting Two-Dimensional Geographical and Synthetic Social Influences for Location Recommendation

With the rapid development of location-based social networks (LBSNs), because human behaviors exhibit specific distribution patterns, personalized geo-social recommendation has played a significant role for LBSNs. In addition to user preference and social influence, geographical influence has also b...

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Bibliographic Details
Main Authors: Jiping Liu, Zhiran Zhang, Chunyang Liu, Agen Qiu, Fuhao Zhang
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
location recommendation
location-based social networks
geographical modeling
social modeling
Kernel Density Estimation
collaborative filtering
Online Access:https://www.mdpi.com/2220-9964/9/4/285

Internet

https://www.mdpi.com/2220-9964/9/4/285

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