Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning
Continuously learning new skills is essential for talents to gain a competitive advantage in
the labor market. Despite extensive efforts on relevance-or preference-based skill …
the labor market. Despite extensive efforts on relevance-or preference-based skill …
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
The rapid development of online recruitment platforms has created unprecedented
opportunities for job seekers while concurrently posing the significant challenge of quickly …
opportunities for job seekers while concurrently posing the significant challenge of quickly …
A Comprehensive Survey on Self-Interpretable Neural Networks
Neural networks have achieved remarkable success across various fields. However, the
lack of interpretability limits their practical use, particularly in critical decision-making …
lack of interpretability limits their practical use, particularly in critical decision-making …
[Retracted] A New Decision‐Making GMDH Neural Network: Effective for Limited and Fuzzy Data
X Hong, Y Zhao, N Kausar… - Computational …, 2022 - Wiley Online Library
This paper presents a new approach to solve multi‐objective decision‐making (DM)
problems based on neural networks (NN). The utility evaluation function is estimated using …
problems based on neural networks (NN). The utility evaluation function is estimated using …
AdaF^ 2M^ 2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
Y Zhu, J Chen, L Chen, Y Li, F Zhang, X Yang… - arxiv preprint arxiv …, 2025 - arxiv.org
Feature modeling, which involves feature representation learning and leveraging, plays an
essential role in industrial recommendation systems. However, the data distribution in real …
essential role in industrial recommendation systems. However, the data distribution in real …
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
Optimization over permutations is typically an NP-hard problem that arises extensively in
ranking, matching, tracking, etc. Birkhoff polytope-based relaxation methods have made …
ranking, matching, tracking, etc. Birkhoff polytope-based relaxation methods have made …
[PDF][PDF] Research Article A New Decision-Making GMDH Neural Network: Effective for Limited and Fuzzy Data
X Hong, Y Zhao, N Kausar, A Mohammadzadeh… - 2022 - academia.edu
Research Article A New Decision-Making GMDH Neural Network: Effective for Limited and Fuzzy
Data Page 1 Research Article A New Decision-Making GMDH Neural Network: Effective for …
Data Page 1 Research Article A New Decision-Making GMDH Neural Network: Effective for …