Doing more with less: Overcoming data scarcity for POI recommendation via cross-region transfer
V Gupta, S Bedathur - ACM Transactions on Intelligent Systems and …, 2022 - dl.acm.org
Variability in social app usage across regions results in a high skew of the quantity and the
quality of check-in data collected, which in turn is a challenge for effective location …
quality of check-in data collected, which in turn is a challenge for effective location …
Where have you been: Dual spatiotemporal-aware user mobility modeling for missing check-in POI identification
The prevalence of Location-based Social Networks (LBSNs) services makes next
personalized Point-of-Interest (POI) predictions become a trending research topic. However …
personalized Point-of-Interest (POI) predictions become a trending research topic. However …
KGCF: Social relationship-aware graph collaborative filtering for recommendation
With the increasing popularity of recommendation techniques and social networks, social
network recommendation has become a significant research field, ie, predicting a user's …
network recommendation has become a significant research field, ie, predicting a user's …
A survey of location-based social networks: problems, methods, and future research directions
The development of mobile devices and positioning technology has facilitated the rapid
growth of location-based social networks (LBSNs). Users in these networks can share geo …
growth of location-based social networks (LBSNs). Users in these networks can share geo …
Community detection algorithms for recommendation systems: techniques and metrics
In the early days of social networking, a community was typically viewed as a collection of
user pro-files sharing common interests and likes. This community continued to grow by …
user pro-files sharing common interests and likes. This community continued to grow by …
Attributed graph clustering with subspace stochastic block model
Inspired by the principle of homophily, most existing graph clustering approaches assume
that the formation of clusters is highly related to node attributes, and thus leverage node …
that the formation of clusters is highly related to node attributes, and thus leverage node …
Modeling implicit communities from geo-tagged event traces using spatio-temporal point processes
The location check-ins of users through various location-based services such as
Foursquare, Twitter and Facebook Places, generate large traces of geo-tagged events …
Foursquare, Twitter and Facebook Places, generate large traces of geo-tagged events …
Local Overlapping Spatial-aware Community Detection
Local spatial-aware community detection refers to detecting a spatial-aware community for a
given node using local information. A spatial-aware community means that nodes in the …
given node using local information. A spatial-aware community means that nodes in the …
Modeling Time-Series and Spatial Data for Recommendations and Other Applications
V Gupta - arXiv preprint arXiv:2212.13259, 2022 - arxiv.org
With the research directions described in this thesis, we seek to address the critical
challenges in designing recommender systems that can understand the dynamics of …
challenges in designing recommender systems that can understand the dynamics of …
Estimating urban socioeconomic inequalities through airtime top-up transactions data
Eradicating poverty in all its forms everywhere remains as the number one Sustainable
Development Goal of the 2030 Agenda for Sustainable Development. Developing countries …
Development Goal of the 2030 Agenda for Sustainable Development. Developing countries …