[HTML][HTML] Enhanced data mining and visualization of sensory-graph-Modeled datasets through summarization
The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …
discovery and decision support has recently been a popular area of research and …
Global and local hypergraph learning method with semantic enhancement for POI recommendation
The deep semantic information mining extracts deep semantic features from textual data and
effectively utilizes the world knowledge embedded in these features, so it is widely …
effectively utilizes the world knowledge embedded in these features, so it is widely …
IDC-CDR: Cross-domain Recommendation based on Intent Disentanglement and Contrast Learning
J Xu, M Gan, H Zhang, S Zhang - Information Processing & Management, 2024 - Elsevier
Using the user's past activity across different domains, the cross-domain recommendation
(CDR) predicts the items that users are likely to click. Most recent studies on CDR model …
(CDR) predicts the items that users are likely to click. Most recent studies on CDR model …
Multivariate Hawkes Spatio-Temporal Point Process with attention for point of interest recommendation
Abstract Point-of-interest (POI) recommendation is one of the most essential services in
modern Location-Based Social Networks (LBSNs) to address the problem of information …
modern Location-Based Social Networks (LBSNs) to address the problem of information …
Category-aware self-supervised graph neural network for session-based recommendation
Session-based recommendation which focuses on predicting the next behavior according to
anonymous sessions of behavior records plays an important role in real-world applications …
anonymous sessions of behavior records plays an important role in real-world applications …
Modeling dynamic spatio-temporal correlations and transitions with time window partitioning for traffic flow prediction
Predicting traffic flow represents a critical undertaking within the domain of Intelligent
Transportation Systems (ITS), given its pivotal role in optimizing traffic management …
Transportation Systems (ITS), given its pivotal role in optimizing traffic management …
Shapley-guided pruning for efficient graph neural architecture prediction in distributed learning environments
Graph neural architecture search (GNAS) methods have made significant strides in
predictive modeling; however, challenges persist in optimizing these approaches for …
predictive modeling; however, challenges persist in optimizing these approaches for …
Chain-of-thought prompting empowered generative user modeling for personalized recommendation
Personalized recommendation plays a crucial role in Internet platforms, providing users with
tailored content based on their user models and enhancing user satisfaction and …
tailored content based on their user models and enhancing user satisfaction and …
User-based clustering deep model for the sequential point-of-interest recommendation
The point-of-interest (POI) recommendation is a key function of location-based social
networks that can help users exploit unfamiliar areas. Due to the massive check-in records …
networks that can help users exploit unfamiliar areas. Due to the massive check-in records …
User Modelling for Personalised Recommendation Systems
F Yang - 2024 - livrepository.liverpool.ac.uk
The rapid advancement of communication, networking, and cloud computing technologies
has precipitated an era of information explosion, resulting in diverse internet applications …
has precipitated an era of information explosion, resulting in diverse internet applications …