PR-RCUC: A POI recommendation model using region-based collaborative filtering and user-based mobile context
Recent years have witnessed the rapid prevalence of big data and it is necessary for mobile
application to filter out information for users. As a significant means of information retrieval …
application to filter out information for users. As a significant means of information retrieval …
Modeling dynamic spatiotemporal user preference for location prediction: a mutually enhanced method
As the cornerstone of location-based services, location prediction aims to predict user's next
location through modeling user's personal preference or travel sequential pattern. However …
location through modeling user's personal preference or travel sequential pattern. However …
BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model
Studies on the checked-in point-of-interests have become an important means to learn
user's behavior. Nevertheless, users do not sign in to all visited locations. There are …
user's behavior. Nevertheless, users do not sign in to all visited locations. There are …
An Accurate and Low-Parameter Machine Learning Architecture for Next Location Prediction
C Jary, N Kahani - arXiv preprint arXiv:2402.00306, 2024 - arxiv.org
Next location prediction is a discipline that involves predicting a users next location. Its
applications include resource allocation, quality of service, energy efficiency, and traffic …
applications include resource allocation, quality of service, energy efficiency, and traffic …
Neu-PCM: Neural-based potential correlation mining for POI recommendation
In the past few years, with the advent and developments of artificial intelligence, the location-
based mobile services became prevalent, which produce large-scale location-based data …
based mobile services became prevalent, which produce large-scale location-based data …
Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments
To fully exploit the benefits of the fog environment, efficient management of data locality is
crucial. Blind or reactive data replication falls short in harnessing the potential of fog …
crucial. Blind or reactive data replication falls short in harnessing the potential of fog …
Java Implementation of Teacher Information Ability Measurement and Analysis Intelligent System (AMAIS) Based on ICT-TPACK and Recurrent Neural Network
K Fu - 2022 International Conference on Inventive …, 2022 - ieeexplore.ieee.org
This study discusses about the implementation of Java in the process of teacher information
ability measurement and analysis based on ICT-TPACK and recurrent neural network. From …
ability measurement and analysis based on ICT-TPACK and recurrent neural network. From …
EGAT: extended graph attention network for pedestrian trajectory prediction
W Kong, Y Liu, H Li, C Wang - Computational intelligence and …, 2021 - Wiley Online Library
To improve foresight and make correct judgment in advance, pedestrian trajectory prediction
has a wide range of application values in autonomous driving, robot interaction, and safety …
has a wide range of application values in autonomous driving, robot interaction, and safety …