Deep-distributed-learning-based POI recommendation under mobile-edge networks
With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
Time-aware recommender systems: A comprehensive survey and quantitative assessment of literature
R Alabduljabbar, M Alshareef, N Alshareef - IEEE Access, 2023 - ieeexplore.ieee.org
Recommender systems (RS) are among the most widely used applications in data mining
and machine-learning technologies. These technologies recommend relevant products to …
and machine-learning technologies. These technologies recommend relevant products to …
Points of interest recommendations: methods, evaluation, and future directions
The emergence of Location-based social networks (LBSNs) in recent years has boosted
improvements in Recommender Systems for a new and specific task: the recommendation of …
improvements in Recommender Systems for a new and specific task: the recommendation of …
Paper recommendation based on heterogeneous network embedding
Researchers face millions of research papers on various digital libraries. Therefore, finding
relevant research work that meets the preferences of a researcher is a challenging task …
relevant research work that meets the preferences of a researcher is a challenging task …
LGLMF: local geographical based logistic matrix factorization model for POI recommendation
With the rapid growth of Location-Based Social Networks, personalized Points of Interest
(POIs) recommendation has become a critical task to help users explore their surroundings …
(POIs) recommendation has become a critical task to help users explore their surroundings …
Proximal alternating-direction-method-of-multipliers-incorporated nonnegative latent factor analysis
High-dimensional and incomplete (HDI) data subject to the nonnegativity constraints are
commonly encountered in a big data-related application concerning the interactions among …
commonly encountered in a big data-related application concerning the interactions among …
Cross-market product recommendation
We study the problem of recommending relevant products to users in relatively resource-
scarce markets by leveraging data from similar, richer in resource auxiliary markets. We …
scarce markets by leveraging data from similar, richer in resource auxiliary markets. We …
[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 …
Real-time POI recommendation via modeling long-and short-term user preferences
Abstract Recently, Next Point-of-Interest (POI) Recommendation which proposes users for
their next visiting locations, has gained increasing attention. A timely and accurate next POI …
their next visiting locations, has gained increasing attention. A timely and accurate next POI …
Joint geographical and temporal modeling based on matrix factorization for point-of-interest recommendation
With the popularity of Location-based Social Networks, Point-of-Interest (POI)
recommendation has become an important task, which learns the users' preferences and …
recommendation has become an important task, which learns the users' preferences and …