A survey on adversarial recommender systems: from attack/defense strategies to generative adversarial networks
Latent-factor models (LFM) based on collaborative filtering (CF), such as matrix factorization
(MF) and deep CF methods, are widely used in modern recommender systems (RS) due to …
(MF) and deep CF methods, are widely used in modern recommender systems (RS) due to …
Generative adversarial networks for spatio-temporal data: A survey
Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
Enhancing social recommendation with adversarial graph convolutional networks
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …
incorporating social information when there is little user-item interaction data. However …
Graph-enhanced spatial-temporal network for next POI recommendation
The task of next Point-of-Interest (POI) recommendation aims at recommending a list of POIs
for a user to visit at the next timestamp based on his/her previous interactions, which is …
for a user to visit at the next timestamp based on his/her previous interactions, which is …
Curriculum meta-learning for next POI recommendation
Next point-of-interest (POI) recommendation is a hot research field where a recent emerging
scenario, next POI to search recommendation, has been deployed in many online map …
scenario, next POI to search recommendation, has been deployed in many online map …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
Learning graph-based geographical latent representation for point-of-interest recommendation
Several geographical latent representation models that capture geographical influences
among points-of-interest (POIs) have been proposed. Although the models improve POI …
among points-of-interest (POIs) have been proposed. Although the models improve POI …
Influence-driven data poisoning for robust recommender systems
Recent studies have shown that recommender systems are vulnerable, and it is easy for
attackers to inject well-designed malicious profiles into the system, resulting in biased …
attackers to inject well-designed malicious profiles into the system, resulting in biased …
Point-of-interest preference model using an attention mechanism in a convolutional neural network
In recent years, there has been a growing interest in develo** next point-of-interest (POI)
recommendation systems in both industry and academia. However, current POI …
recommendation systems in both industry and academia. However, current POI …
Context-aware recommender systems: From foundations to recent developments
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …
practitioners in many disciplines, including e-commerce, personalization, information …