Feature-rich networks: going beyond complex network topologies
The growing availability of multirelational data gives rise to an opportunity for novel
characterization of complex real-world relations, supporting the proliferation of diverse …
characterization of complex real-world relations, supporting the proliferation of diverse …
An adaptive point-of-interest recommendation method for location-based social networks based on user activity and spatial features
Y Si, F Zhang, W Liu - Knowledge-Based Systems, 2019 - Elsevier
Abstract Point-of-interest (POI) recommendations can help users effectively explore new
locations according to their preferences, which is an important research aspect for location …
locations according to their preferences, which is an important research aspect for location …
Leveraging contextual influence and user preferences for point-of-interest recommendation
Abstract The effective Point-of-Interest (POI) recommendation can significantly assist users
to find their preferred POIs and help POI owners to attract more customers. As a result, a …
to find their preferred POIs and help POI owners to attract more customers. As a result, a …
CTF-ARA: An adaptive method for POI recommendation based on check-in and temporal features
Y Si, F Zhang, W Liu - Knowledge-Based Systems, 2017 - Elsevier
Abstract Point-of-interest (POI) recommendation in location-based social networks (LBSNs)
can solve the problem of information overload by providing personalized recommendation …
can solve the problem of information overload by providing personalized recommendation …
Modeling the heterogeneous duration of user interest in time-dependent recommendation: A hidden semi-Markov approach
Recommender systems are widely used for suggesting books, education materials, and
products to users by exploring their behaviors. In reality, users' preferences often change …
products to users by exploring their behaviors. In reality, users' preferences often change …
Successive point-of-interest recommendation with personalized local differential privacy
The fast development of vehicle positioning technologies has paved the way for in-vehicle
recommendation systems. Successive Point-of-Interest (POI) recommendation, one of the …
recommendation systems. Successive Point-of-Interest (POI) recommendation, one of the …
Multi-modal Bayesian embedding for point-of-interest recommendation on location-based cyber-physical–social networks
L Huang, Y Ma, Y Liu, AK Sangaiah - Future Generation Computer Systems, 2020 - Elsevier
Abstract Point-of-interest (POI) recommendation has become a favorite topic on location-
based cyber-physical–social networks (LBCPSNs). The geographical influence of locations …
based cyber-physical–social networks (LBCPSNs). The geographical influence of locations …
A dynamic topic model and matrix factorization-based travel recommendation method exploiting ubiquitous data
The vast volumes of community-contributed geotagged photos (CCGPs) available on the
Web can be utilized to make travel location recommendations. The sparsity of user location …
Web can be utilized to make travel location recommendations. The sparsity of user location …
Towards privacy-preserving category-aware POI recommendation over encrypted LBSN data
With the popularity of location-based social networks (LBSNs), locations and social
relationships, point-of-interests (POIs) categories have been considered to be important …
relationships, point-of-interests (POIs) categories have been considered to be important …
TeSP-TMF: A temporal-aware personalized POI recommendation approach based on potential preferences and grey relational analysis
J Chen, W Zhang - Electronic Commerce Research and Applications, 2023 - Elsevier
The great advances in mobile devices make it critical to exploit multiple auxiliary information
for efficient point-of-interest (POI) recommendations. However, most existing methods can …
for efficient point-of-interest (POI) recommendations. However, most existing methods can …