Saved in:
| Main Authors: | Schultzberg, Claire, Ottens, Brammert |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.08671 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
by: Iyengar, Garud, et al.
Published: (2024)
by: Iyengar, Garud, et al.
Published: (2024)
Evaluation on Entity Matching in Recommender Systems
by: Huang, Zihan, et al.
Published: (2026)
by: Huang, Zihan, et al.
Published: (2026)
Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
e-Fold Cross-Validation for Recommender-System Evaluation
by: Baumgart, Moritz, et al.
Published: (2024)
by: Baumgart, Moritz, et al.
Published: (2024)
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
by: Burke, Robin, et al.
Published: (2025)
by: Burke, Robin, et al.
Published: (2025)
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)
by: Xue, Zhenghai, et al.
Published: (2023)
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems
by: Xiang, Zhichen, et al.
Published: (2024)
by: Xiang, Zhichen, et al.
Published: (2024)
Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
by: Jatavallabha, Aravinda, et al.
Published: (2025)
by: Jatavallabha, Aravinda, et al.
Published: (2025)
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
by: Ma, Xin, et al.
Published: (2024)
by: Ma, Xin, et al.
Published: (2024)
Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
by: Fang, Hui, et al.
Published: (2024)
by: Fang, Hui, et al.
Published: (2024)
Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies
by: Hsu, Chih-Wei, et al.
Published: (2024)
by: Hsu, Chih-Wei, et al.
Published: (2024)
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Dataset-Agnostic Recommender Systems
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
by: Agarwal, Arpit, et al.
Published: (2024)
by: Agarwal, Arpit, et al.
Published: (2024)
On the Reliability of Sampling Strategies in Offline Recommender Evaluation
by: Pereira, Bruno L., et al.
Published: (2025)
by: Pereira, Bruno L., et al.
Published: (2025)
Talos: Optimizing Top-$K$ Accuracy in Recommender Systems
by: Zhang, Shengjia, et al.
Published: (2026)
by: Zhang, Shengjia, et al.
Published: (2026)
Co-clustering for Federated Recommender System
by: He, Xinrui, et al.
Published: (2024)
by: He, Xinrui, et al.
Published: (2024)
The Potential of AutoML for Recommender Systems
by: Vente, Tobias, et al.
Published: (2024)
by: Vente, Tobias, et al.
Published: (2024)
Neural Click Models for Recommender Systems
by: Shirokikh, Mikhail, et al.
Published: (2024)
by: Shirokikh, Mikhail, et al.
Published: (2024)
The Unreasonable Effectiveness of Data for Recommender Systems
by: Abdou, Youssef
Published: (2026)
by: Abdou, Youssef
Published: (2026)
Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)
by: Zheng, Yan, et al.
Published: (2025)
Generalized Embedding Machines for Recommender Systems
by: Yang, Enneng, et al.
Published: (2020)
by: Yang, Enneng, et al.
Published: (2020)
A Comprehensive Survey of Evaluation Techniques for Recommendation Systems
by: Jadon, Aryan, et al.
Published: (2023)
by: Jadon, Aryan, et al.
Published: (2023)
Listwise Preference Alignment Optimization for Tail Item Recommendation
by: Li, Zihao, et al.
Published: (2025)
by: Li, Zihao, et al.
Published: (2025)
Optimizing Conversational Product Recommendation via Reinforcement Learning
by: Liu, Kang
Published: (2025)
by: Liu, Kang
Published: (2025)
Measuring Recency Bias In Sequential Recommendation Systems
by: Oh, Jeonglyul, et al.
Published: (2024)
by: Oh, Jeonglyul, et al.
Published: (2024)
Modeling Attrition in Recommender Systems with Departing Bandits
by: Ben-Porat, Omer, et al.
Published: (2022)
by: Ben-Porat, Omer, et al.
Published: (2022)
Understanding Distribution Structure on Calibrated Recommendation Systems
by: da Silva, Diego Correa, et al.
Published: (2025)
by: da Silva, Diego Correa, et al.
Published: (2025)
The Environmental Impact of Ensemble Techniques in Recommender Systems
by: Nitschke, Jannik
Published: (2025)
by: Nitschke, Jannik
Published: (2025)
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution
by: Xu, Cong, et al.
Published: (2023)
by: Xu, Cong, et al.
Published: (2023)
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
by: Sun, Zhu, et al.
Published: (2022)
by: Sun, Zhu, et al.
Published: (2022)
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
by: Zhou, Huixue, et al.
Published: (2025)
by: Zhou, Huixue, et al.
Published: (2025)
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
by: Liu, Wenyi, et al.
Published: (2024)
by: Liu, Wenyi, et al.
Published: (2024)
ContextGNN: Beyond Two-Tower Recommendation Systems
by: Yuan, Yiwen, et al.
Published: (2024)
by: Yuan, Yiwen, et al.
Published: (2024)
Understanding Fairness in Recommender Systems: A Healthcare Perspective
by: Kecki, Veronica, et al.
Published: (2024)
by: Kecki, Veronica, et al.
Published: (2024)
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
by: Wang, Yuyan, et al.
Published: (2024)
by: Wang, Yuyan, et al.
Published: (2024)
Incentive-Aware Recommender Systems in Two-Sided Markets
by: Dai, Xiaowu, et al.
Published: (2022)
by: Dai, Xiaowu, et al.
Published: (2022)
Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025)
by: Li, Qunwei, et al.
Published: (2025)
Does Weighting Improve Matrix Factorization for Recommender Systems?
by: Ayoub, Alex, et al.
Published: (2025)
by: Ayoub, Alex, et al.
Published: (2025)
Similar Items
-
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization
by: Iyengar, Garud, et al.
Published: (2024) -
Evaluation on Entity Matching in Recommender Systems
by: Huang, Zihan, et al.
Published: (2026) -
Navigating the Future of Federated Recommendation Systems with Foundation Models
by: Li, Zhiwei, et al.
Published: (2024) -
e-Fold Cross-Validation for Recommender-System Evaluation
by: Baumgart, Moritz, et al.
Published: (2024) -
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
by: Burke, Robin, et al.
Published: (2025)