Fused matrix factorization with geographical and social influence in location-based social networks
Recently, location-based social networks (LBSNs), such as Gowalla, Foursquare, Facebook,
and Brightkite, etc., have attracted millions of users to share their social friendship and their …
and Brightkite, etc., have attracted millions of users to share their social friendship and their …
POI recommendation: Towards fused matrix factorization with geographical and temporal influences
JB Griesner, T Abdessalem, H Naacke - … of the 9th ACM Conference on …, 2015 - dl.acm.org
Providing personalized point-of-interest (POI) recommendation has become a major issue
with the rapid emergence of location-based social networks (LBSNs). Unlike traditional …
with the rapid emergence of location-based social networks (LBSNs). Unlike traditional …
Fused matrix factorization with multi-tag, social and geographical influences for POI recommendation
Z Zhang, Y Liu, Z Zhang, B Shen - World Wide Web, 2019 - Springer
We make plans to provid a point-of-interests (POI) recommendation method for location-
based social networks (LBSNs) in the paper. LBSNs contain a special three layers network …
based social networks (LBSNs) in the paper. LBSNs contain a special three layers network …
[PDF][PDF] Where you like to go next: Successive point-of-interest recommendation
Personalized point-of-interest (POI) recommendation is a significant task in location-based
social networks (LBSNs) as it can help provide better user experience as well as enable …
social networks (LBSNs) as it can help provide better user experience as well as enable …
Point-of-interest recommendation in location based social networks with topic and location awareness
The wide spread use of location based social networks (LBSNs) has enabled the
opportunities for better location based services through Point-of-Interest (POI) …
opportunities for better location based services through Point-of-Interest (POI) …
Context-aware probabilistic matrix factorization modeling for point-of-interest recommendation
The rapid development of location-based social networks (LBSNs) has provided an
unprecedented opportunity for better location-based services through Point-of-Interest (POI) …
unprecedented opportunity for better location-based services through Point-of-Interest (POI) …
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation
Point-of-Interest (POI) recommendation has become an important means to help people
discover attractive locations. However, extreme sparsity of user-POI matrices creates a …
discover attractive locations. However, extreme sparsity of user-POI matrices creates a …
A survey of point-of-interest recommendation in location-based social networks
Point-of-interest (POI) recommendation that suggests new places for users to visit arises with
the popularity of location-based social networks (LBSNs). Due to the importance of POI …
the popularity of location-based social networks (LBSNs). Due to the importance of POI …
[HTML][HTML] Leveraging social influence based on users activity centers for point-of-interest recommendation
Abstract Recommender Systems (RSs) aim to model and predict the user preference while
interacting with items, such as Points of Interest (POIs). These systems face several …
interacting with items, such as Points of Interest (POIs). These systems face several …
Geography-aware inductive matrix completion for personalized point-of-interest recommendation in smart cities
With the development of Internet of Things technology, the will to make cities smarter is
growing. In the context of smart cities, where people are surrounded by a tremendous …
growing. In the context of smart cities, where people are surrounded by a tremendous …