Enhancing Learning Path Recommendation via Multi-task Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Nasrin, Afsana, Qian, Lijun, Obiomon, Pamela, Dong, Xishuang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024)
by: Blow, Christina Hastings, et al.
Published: (2024)
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities
by: Kuo, Ming-Mu, et al.
Published: (2024)
by: Kuo, Ming-Mu, et al.
Published: (2024)
Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
by: Råmunddal, Justus
Published: (2025)
by: Råmunddal, Justus
Published: (2025)
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
by: Kuo, Ming, et al.
Published: (2024)
by: Kuo, Ming, et al.
Published: (2024)
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
by: Vassøy, Bjørnar, et al.
Published: (2023)
by: Vassøy, Bjørnar, et al.
Published: (2023)
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
by: Yuan, Jun, et al.
Published: (2024)
by: Yuan, Jun, et al.
Published: (2024)
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, et al.
Published: (2025)
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
by: Zhuang, Yan, et al.
Published: (2024)
by: Zhuang, Yan, et al.
Published: (2024)
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
by: Jannach, Dietmar, et al.
Published: (2024)
by: Jannach, Dietmar, et al.
Published: (2024)
Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice
by: Ihugba, Benign John, et al.
Published: (2025)
by: Ihugba, Benign John, et al.
Published: (2025)
Multi-task GINN-LP for Multi-target Symbolic Regression
by: Rajabu, Hussein, et al.
Published: (2025)
by: Rajabu, Hussein, et al.
Published: (2025)
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
by: Shao, Chu-Jen, et al.
Published: (2024)
by: Shao, Chu-Jen, et al.
Published: (2024)
Fidelity-Aware Recommendation Explanations via Stochastic Path Integration
by: Barkan, Oren, et al.
Published: (2025)
by: Barkan, Oren, et al.
Published: (2025)
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
by: Feng, Xiaohua, et al.
Published: (2025)
by: Feng, Xiaohua, et al.
Published: (2025)
Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
by: Li, Shijun, et al.
Published: (2024)
by: Li, Shijun, et al.
Published: (2024)
Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
by: Le, Ngoc Luyen, et al.
Published: (2025)
by: Le, Ngoc Luyen, et al.
Published: (2025)
The Quest for Reliable Metrics of Responsible AI
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
by: Rampisela, Theresia Veronika, et al.
Published: (2025)
OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models
by: Siebenmann, Michael, et al.
Published: (2025)
by: Siebenmann, Michael, et al.
Published: (2025)
PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
by: Yu, Xiaoshan, et al.
Published: (2025)
by: Yu, Xiaoshan, et al.
Published: (2025)
RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems
by: Zhou, Jiahong, et al.
Published: (2023)
by: Zhou, Jiahong, et al.
Published: (2023)
New Curriculum, New Chance -- Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation
by: Kloker, Simon, et al.
Published: (2024)
by: Kloker, Simon, et al.
Published: (2024)
First, do no harm: Breaking suicidogenic echo chambers in media recommendation
by: Díaz-Álvarez, Alberto, et al.
Published: (2026)
by: Díaz-Álvarez, Alberto, et al.
Published: (2026)
Measuring Individual User Fairness with User Similarity and Effectiveness Disparity
by: Rampisela, Theresia Veronika, et al.
Published: (2026)
by: Rampisela, Theresia Veronika, et al.
Published: (2026)
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
by: Hu, Tianyi, et al.
Published: (2025)
by: Hu, Tianyi, et al.
Published: (2025)
Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation
by: Xie, Tao, et al.
Published: (2026)
by: Xie, Tao, et al.
Published: (2026)
DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning
by: Liu, Sicen, et al.
Published: (2023)
by: Liu, Sicen, et al.
Published: (2023)
LiMAML: Personalization of Deep Recommender Models via Meta Learning
by: Wang, Ruofan, et al.
Published: (2024)
by: Wang, Ruofan, et al.
Published: (2024)
Enhancing Personalized Recipe Recommendation Through Multi-Class Classification
by: Neelam, Harish, et al.
Published: (2024)
by: Neelam, Harish, et al.
Published: (2024)
Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems
by: Sah, Chandan Kumar, et al.
Published: (2026)
by: Sah, Chandan Kumar, et al.
Published: (2026)
Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
by: Shao, Junli, et al.
Published: (2025)
by: Shao, Junli, et al.
Published: (2025)
Epistemic Uncertainty-aware Recommendation Systems via Bayesian Deep Ensemble Learning
by: Cheraghi, Radin, et al.
Published: (2025)
by: Cheraghi, Radin, et al.
Published: (2025)
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)
by: Huang, Tianhao, et al.
Published: (2024)
LLM-Enhanced Linear Autoencoders for Recommendation
by: Moon, Jaewan, et al.
Published: (2025)
by: Moon, Jaewan, et al.
Published: (2025)
PathGPT: Reframing Path Recommendation as a Natural Language Generation Task with Retrieval-Augmented Language Models
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)
by: Marcelyn, Steeve Cuthbert, et al.
Published: (2025)
Faithful Path Language Modeling for Explainable Recommendation over Knowledge Graph
by: Balloccu, Giacomo, et al.
Published: (2023)
by: Balloccu, Giacomo, et al.
Published: (2023)
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems
by: Mhedhbi, Eya, et al.
Published: (2025)
by: Mhedhbi, Eya, et al.
Published: (2025)
Learning to Fast Unrank in Collaborative Filtering Recommendation
by: Zhao, Junpeng, et al.
Published: (2025)
by: Zhao, Junpeng, et al.
Published: (2025)
Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
by: Pang, Linsey, et al.
Published: (2024)
by: Pang, Linsey, et al.
Published: (2024)
A Standardized Machine-readable Dataset Documentation Format for Responsible AI
by: Jain, Nitisha, et al.
Published: (2024)
by: Jain, Nitisha, et al.
Published: (2024)
Robust Reinforcement Learning Objectives for Sequential Recommender Systems
by: Mozifian, Melissa, et al.
Published: (2023)
by: Mozifian, Melissa, et al.
Published: (2023)
Similar Items
-
Data Augmentation via Diffusion Model to Enhance AI Fairness
by: Blow, Christina Hastings, et al.
Published: (2024) -
Deep Knowledge Tracing for Personalized Adaptive Learning at Historically Black Colleges and Universities
by: Kuo, Ming-Mu, et al.
Published: (2024) -
Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
by: Råmunddal, Justus
Published: (2025) -
Enhancing Deep Knowledge Tracing via Diffusion Models for Personalized Adaptive Learning
by: Kuo, Ming, et al.
Published: (2024) -
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
by: Vassøy, Bjørnar, et al.
Published: (2023)