Regions, periods, activities: Uncovering urban dynamics via cross-modal representation learning
With the ever-increasing urbanization process, systematically modeling people's activities in
the urban space is being recognized as a crucial socioeconomic task. This task was nearly …
the urban space is being recognized as a crucial socioeconomic task. This task was nearly …
TICRec: A probabilistic framework to utilize temporal influence correlations for time-aware location recommendations
JD Zhang, CY Chow - IEEE Transactions on Services …, 2015 - ieeexplore.ieee.org
In location-based social networks (LBSNs), time significantly affects users' check-in
behaviors, for example, people usually visit different places at different times of weekdays …
behaviors, for example, people usually visit different places at different times of weekdays …
HyGate-GCN: Hybrid-Gate-Based Graph Convolutional Networks with dynamical ratings estimation for personalized POI recommendation
The presence of user-generated ratings has dramatically facilitated the development of
recommendation systems to aid users in discovering relevant and personalized points of …
recommendation systems to aid users in discovering relevant and personalized points of …
Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review
Location-based social networks (LBSNs) have bridged the gap between the virtual and real
worlds by allowing users to share their preferences and behaviors digitally. Point-of-Interest …
worlds by allowing users to share their preferences and behaviors digitally. Point-of-Interest …
React: Online multimodal embedding for recency-aware spatiotemporal activity modeling
Spatiotemporalactivity modeling is an important task for applications like tour
recommendation and place search. The recently developed geographical topic models have …
recommendation and place search. The recently developed geographical topic models have …
Enhanced connectivity index–A new measure for identifying critical points in urban public transportation networks
This paper describes a novel methodology for identifying critical nodes in urban public
transportation networks. The methodology, which is based on graph theory, transportation …
transportation networks. The methodology, which is based on graph theory, transportation …
[PDF][PDF] Users in the urban sensing process: Challenges and research opportunities
The popularization of portable devices such as smartphones and the worldwide adoption of
social media services make it increasingly possible to be connected and share data …
social media services make it increasingly possible to be connected and share data …
Revealing urban dynamics by learning online and offline behaviours together
Urban problems and diseases accompanied by the pace of urbanization have drawn
attention to the importance of understanding urban dynamics, while a deep and …
attention to the importance of understanding urban dynamics, while a deep and …
Correlation of road network structure and urban mobility intensity: An exploratory study using geo-tagged tweets
L Geng, K Zhang - ISPRS International Journal of Geo-Information, 2022 - mdpi.com
Urban planners have been long interested in understanding how urban structure and
activities are mutually influenced. Human mobility and economic activities naturally drive the …
activities are mutually influenced. Human mobility and economic activities naturally drive the …
SoCaST*: personalized event recommendations for event-based social networks: a multi-criteria decision making approach
In event-based social networks, user preferences mined from the influences of geographical
locations, event categories, and social and temporal preferences have been exploited for …
locations, event categories, and social and temporal preferences have been exploited for …