A novel virtual-communicated evolution learning recommendation
YC Chen, YL Chen - Industrial Management & Data Systems, 2024 - emerald.com
Purpose In this “Info-plosion” era, recommendation systems (or recommenders) play a
significant role in finding interesting items in the surge of online digital activity and e …
significant role in finding interesting items in the surge of online digital activity and e …
A novel cross-domain recommendation with evolution learning
In this “info-plosion” era, recommendation systems (or recommenders) play a significant role
in finding interesting items in the surge of online digital activities and e-commerce. Several …
in finding interesting items in the surge of online digital activities and e-commerce. Several …
HeteLFX: Heterogeneous recommendation with latent feature extraction
H Park, JJ Jung - Electronic Commerce Research and Applications, 2024 - Elsevier
This study proposes a heterogeneous recommendation model that does not rely on data
sharing. Previous studies have predominantly focused on nested homogeneous domains …
sharing. Previous studies have predominantly focused on nested homogeneous domains …
KFDBN: Kernelized Finetuned Deep Belief Network for recommendation
In today's technologically evolved world, users have become accustomed to personalized
tools that provide accurate and precise recommendations that consider their needs and …
tools that provide accurate and precise recommendations that consider their needs and …
Furniture Recommendations Based on User Propensity and Furniture Style Compatibility
M Takeda, K Ono, A Taisho - IEEE Access, 2024 - ieeexplore.ieee.org
As digital information becomes more voluminous and e-commerce becomes more
widespread, there is a growing demand for item recommendations that match the users' …
widespread, there is a growing demand for item recommendations that match the users' …
Enhancing Movie Category Prediction with Hybrid Models for Enhanced Interpretability
S Namitha, J Prathibha, TK Reddy… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The paper presents an advanced method for predicting movie genres using a hybrid model
that combines textual, visual, and numerical variables in a smooth manner. Our model …
that combines textual, visual, and numerical variables in a smooth manner. Our model …
Gcarec: Multi-Behavior Dynamic Graph Neural Network Recommendation Based on Cellular Automata
G Wu - papers.ssrn.com
Most of the existing recommendation methods only learn from the user's single type of
behavior, while in real-world scenarios, users have different types of interactions with items …
behavior, while in real-world scenarios, users have different types of interactions with items …