Does Weighting Improve Matrix Factorization for Recommender Systems?
Fuente:
arXiv
Saved in:
| Main Authors: | Ayoub, Alex, Robertson, Samuel, Liang, Dawen, Steck, Harald, Kallus, Nathan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Is Cosine-Similarity of Embeddings Really About Similarity?
by: Steck, Harald, et al.
Published: (2024)
by: Steck, Harald, et al.
Published: (2024)
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2025)
by: Zhu, Yaochen, et al.
Published: (2025)
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
by: Zhu, Yaochen, et al.
Published: (2025)
by: Zhu, Yaochen, et al.
Published: (2025)
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
by: He, Zhankui, et al.
Published: (2024)
by: He, Zhankui, et al.
Published: (2024)
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System
by: Surana, Rohan, et al.
Published: (2025)
by: Surana, Rohan, et al.
Published: (2025)
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
by: Shtoff, Alex, et al.
Published: (2024)
by: Shtoff, Alex, et al.
Published: (2024)
Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
by: Wu, Yining, et al.
Published: (2024)
by: Wu, Yining, et al.
Published: (2024)
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems
by: Zhang, Tunhou, et al.
Published: (2022)
by: Zhang, Tunhou, et al.
Published: (2022)
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems
by: Abraich, Ayoub
Published: (2025)
by: Abraich, Ayoub
Published: (2025)
The Value of Personalized Recommendations: Evidence from Netflix
by: Zielnicki, Kevin, et al.
Published: (2025)
by: Zielnicki, Kevin, et al.
Published: (2025)
Online Learning for Recommendations at Grubhub
by: Egg, Alex
Published: (2021)
by: Egg, Alex
Published: (2021)
CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation
by: Liu, Yuting, et al.
Published: (2024)
by: Liu, Yuting, et al.
Published: (2024)
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
by: Corecco, Nathan, et al.
Published: (2024)
by: Corecco, Nathan, et al.
Published: (2024)
KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
by: Zhang, Haonan, et al.
Published: (2024)
by: Zhang, Haonan, et al.
Published: (2024)
Addressing Cold Start For next-article Recommendation
by: Elgohary, Omar, et al.
Published: (2025)
by: Elgohary, Omar, et al.
Published: (2025)
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems
by: Kolodner, Matthew, et al.
Published: (2024)
by: Kolodner, Matthew, et al.
Published: (2024)
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization
by: Samra, Abdulaziz, et al.
Published: (2024)
by: Samra, Abdulaziz, et al.
Published: (2024)
How Does Message Passing Improve Collaborative Filtering?
by: Ju, Mingxuan, et al.
Published: (2024)
by: Ju, Mingxuan, et al.
Published: (2024)
Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)
by: Yoo, Hyunsik, et al.
Published: (2025)
Correct and Weight: A Simple Yet Effective Loss for Implicit Feedback Recommendation
by: Yin, Minglei, et al.
Published: (2026)
by: Yin, Minglei, et al.
Published: (2026)
PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation
by: Bao, Shilong, et al.
Published: (2024)
by: Bao, Shilong, et al.
Published: (2024)
Improving Sequential Query Recommendation with Immediate User Feedback
by: Parambath, Shameem A Puthiya, et al.
Published: (2022)
by: Parambath, Shameem A Puthiya, et al.
Published: (2022)
Cross-Representation Knowledge Transfer for Improved Sequential Recommendations
by: Gimranov, Artur, et al.
Published: (2026)
by: Gimranov, Artur, et al.
Published: (2026)
Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation
by: Que, Yue, et al.
Published: (2025)
by: Que, Yue, et al.
Published: (2025)
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
by: Luo, Chaoguang, et al.
Published: (2024)
by: Luo, Chaoguang, et al.
Published: (2024)
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)
DCN^2: Interplay of Implicit Collision Weights and Explicit Cross Layers for Large-Scale Recommendation
by: Škrlj, Blaž, et al.
Published: (2025)
by: Škrlj, Blaž, et al.
Published: (2025)
Semantic IDs for Music Recommendation
by: Mei, M. Jeffrey, et al.
Published: (2025)
by: Mei, M. Jeffrey, et al.
Published: (2025)
Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations
by: Yusupov, Viacheslav, et al.
Published: (2025)
by: Yusupov, Viacheslav, et al.
Published: (2025)
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
by: Su, Yixin, et al.
Published: (2025)
by: Su, Yixin, et al.
Published: (2025)
A Survey of Latent Factor Models in Recommender Systems
by: Alshbanat, Hind I., et al.
Published: (2024)
by: Alshbanat, Hind I., et al.
Published: (2024)
Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)
by: Zheng, Yan, et al.
Published: (2025)
Evaluation on Entity Matching in Recommender Systems
by: Huang, Zihan, et al.
Published: (2026)
by: Huang, Zihan, et al.
Published: (2026)
The Unreasonable Effectiveness of Data for Recommender Systems
by: Abdou, Youssef
Published: (2026)
by: Abdou, Youssef
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)
Generalized Embedding Machines for Recommender Systems
by: Yang, Enneng, et al.
Published: (2020)
by: Yang, Enneng, et al.
Published: (2020)
Similar Items
-
Is Cosine-Similarity of Embeddings Really About Similarity?
by: Steck, Harald, et al.
Published: (2024) -
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
by: Zhu, Yaochen, et al.
Published: (2025) -
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
by: Zhu, Yaochen, et al.
Published: (2025) -
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
by: He, Zhankui, et al.
Published: (2024) -
From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System
by: Surana, Rohan, et al.
Published: (2025)