On conceptualisation and an overview of learning path recommender systems in e-learning
Fuente:
arXiv
Saved in:
| Main Authors: | Fuster-López, A., Cruz, J. M., Guerrero-García, P., Hendrix, E. M. T., Košir, A., Nowak, I., Oneto, L., Sirmakessis, S., Pacheco, M. F., Fernandes, F. P., Pereira, A. I. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Positive unlabeled learning for building recommender systems in a parliamentary setting
by: de Camposa, Luis M., et al.
Published: (2024)
by: de Camposa, Luis M., et al.
Published: (2024)
Invariant representation learning for sequential recommendation
by: Zhou, Xiaofan
Published: (2023)
by: Zhou, Xiaofan
Published: (2023)
Invariant debiasing learning for recommendation via biased imputation
by: Bai, Ting, et al.
Published: (2024)
by: Bai, Ting, et al.
Published: (2024)
Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
by: Pires, Pedro R., et al.
Published: (2025)
by: Pires, Pedro R., et al.
Published: (2025)
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)
by: Forouzandeh, Saman, et al.
Published: (2025)
Preference-based learning for news headline recommendation
by: Bouras, Alexandre, et al.
Published: (2025)
by: Bouras, Alexandre, et al.
Published: (2025)
Publication venue recommendation using profiles based on clustering
by: de Campos, Luis M., et al.
Published: (2024)
by: de Campos, Luis M., et al.
Published: (2024)
Use of topical and temporal profiles and their hybridisation for content-based recommendation
by: de Campos, Luis M., et al.
Published: (2024)
by: de Campos, Luis M., et al.
Published: (2024)
Fine-grained auxiliary learning for real-world product recommendation
by: Almagro, Mario, et al.
Published: (2025)
by: Almagro, Mario, et al.
Published: (2025)
Efficient user history modeling with amortized inference for deep learning recommendation models
by: Hertel, Lars, et al.
Published: (2024)
by: Hertel, Lars, et al.
Published: (2024)
Reliability quality measures for recommender systems
by: Bobadilla, Jesús, et al.
Published: (2024)
by: Bobadilla, Jesús, et al.
Published: (2024)
Scalable recommender system based on factor analysis
by: Ghandwani, Disha, et al.
Published: (2024)
by: Ghandwani, Disha, et al.
Published: (2024)
Measuring the stability and plasticity of recommender systems
by: Lavoura, Maria João, et al.
Published: (2025)
by: Lavoura, Maria João, et al.
Published: (2025)
HiMARS: Hybrid multi-objective algorithms for recommender systems
by: Lotfian, Elaheh, et al.
Published: (2026)
by: Lotfian, Elaheh, et al.
Published: (2026)
An AI-based solution for the cold start and data sparsity problems in the recommendation systems
by: Sumit, Shahriar Shakir
Published: (2023)
by: Sumit, Shahriar Shakir
Published: (2023)
Model-agnostic post-hoc explainability for recommender systems
by: Arévalo, Irina, et al.
Published: (2025)
by: Arévalo, Irina, et al.
Published: (2025)
Handling Large-scale Cardinality in building recommendation systems
by: Kurra, Dhruva Dixith, et al.
Published: (2024)
by: Kurra, Dhruva Dixith, et al.
Published: (2024)
Why am I seeing this? Towards recognizing social media recommender systems with missing recommendations
by: Guidotti, Sabrina, et al.
Published: (2025)
by: Guidotti, Sabrina, et al.
Published: (2025)
Overview of the TREC 2023 deep learning track
by: Craswell, Nick, et al.
Published: (2025)
by: Craswell, Nick, et al.
Published: (2025)
Predictive accuracy of recommender algorithms
by: Noffsinger, William
Published: (2024)
by: Noffsinger, William
Published: (2024)
Recommendation systems in e-commerce applications with machine learning methods
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)
by: Poniszewska-Maranda, Aneta, et al.
Published: (2025)
A cross-domain recommender system using deep coupled autoencoders
by: Gkillas, Alexandros, et al.
Published: (2021)
by: Gkillas, Alexandros, et al.
Published: (2021)
BeLightRec: A lightweight recommender system enhanced with BERT
by: Van, Manh Mai, et al.
Published: (2025)
by: Van, Manh Mai, et al.
Published: (2025)
Hybrid Cold-Start Recommender System for Closure Model Selection in Multiphase Flow Simulations
by: Hänsch, S., et al.
Published: (2026)
by: Hänsch, S., et al.
Published: (2026)
Quantum contextual bandits and recommender systems for quantum data
by: Brahmachari, Shrigyan, et al.
Published: (2023)
by: Brahmachari, Shrigyan, et al.
Published: (2023)
Cascade! Human in the loop shortcomings can increase the risk of failures in recommender systems
by: Kennedy, Wm. Matthew, et al.
Published: (2025)
by: Kennedy, Wm. Matthew, et al.
Published: (2025)
Post-fusion monolithic hybrid recommender system for suggesting relevant movies to users
by: Rezapour, Mahdi
Published: (2024)
by: Rezapour, Mahdi
Published: (2024)
Enhancing the conformal predictability of context-aware recommendation systems by using Deep Autoencoders
by: Zammali, Saloua, et al.
Published: (2024)
by: Zammali, Saloua, et al.
Published: (2024)
How public datasets constrain the development of diversity-aware news recommender systems, and what law could do about it
by: van Drunen, Max, et al.
Published: (2025)
by: van Drunen, Max, et al.
Published: (2025)
LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation
by: Bolognesi, Giorgia, et al.
Published: (2026)
by: Bolognesi, Giorgia, et al.
Published: (2026)
Rethinking negative sampling in content-based news recommendation
by: Rebelo, Miguel Ângelo, et al.
Published: (2024)
by: Rebelo, Miguel Ângelo, et al.
Published: (2024)
Unsupervised dense retrieval with conterfactual contrastive learning
by: Chen, Haitian, et al.
Published: (2024)
by: Chen, Haitian, et al.
Published: (2024)
Efficient course recommendations with T5-based ranking and summarization
by: Bijl, Thijmen, et al.
Published: (2024)
by: Bijl, Thijmen, et al.
Published: (2024)
RE-RecSys: An End-to-End system for recommending properties in Real-Estate domain
by: C, Venkatesh, et al.
Published: (2024)
by: C, Venkatesh, et al.
Published: (2024)
Predicting IR Personalization Performance using Pre-retrieval Query Predictors
by: Vicente-López, Eduardo, et al.
Published: (2024)
by: Vicente-López, Eduardo, et al.
Published: (2024)
Overview of the TREC 2022 deep learning track
by: Craswell, Nick, et al.
Published: (2025)
by: Craswell, Nick, et al.
Published: (2025)
Dual prototype attentive graph network for cross-market recommendation
by: Fan, Li, et al.
Published: (2025)
by: Fan, Li, et al.
Published: (2025)
Knowledge graph-based personalized multimodal recommendation fusion framework
by: Fang, Yu
Published: (2025)
by: Fang, Yu
Published: (2025)
SPARC: Soft Probabilistic Adaptive multi-interest Retrieval Model via Codebooks for recommender system
by: Shi, Jialiang, et al.
Published: (2025)
by: Shi, Jialiang, et al.
Published: (2025)
Robust portfolio optimization for recommender systems considering uncertainty of estimated statistics
by: Yanagi, Tomoya, et al.
Published: (2024)
by: Yanagi, Tomoya, et al.
Published: (2024)
Similar Items
-
Positive unlabeled learning for building recommender systems in a parliamentary setting
by: de Camposa, Luis M., et al.
Published: (2024) -
Invariant representation learning for sequential recommendation
by: Zhou, Xiaofan
Published: (2023) -
Invariant debiasing learning for recommendation via biased imputation
by: Bai, Ting, et al.
Published: (2024) -
Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
by: Pires, Pedro R., et al.
Published: (2025) -
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
by: Forouzandeh, Saman, et al.
Published: (2025)