Saved in:
| Main Authors: | Manderlier, Maxime, Lecron, Fabian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.06830 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Variability to Stability: Advancing RecSys Benchmarking Practices
by: Shevchenko, Valeriy, et al.
Published: (2024)
by: Shevchenko, Valeriy, et al.
Published: (2024)
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations
by: Kruse, Johannes, et al.
Published: (2024)
by: Kruse, Johannes, et al.
Published: (2024)
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
by: Tan, Juntao, et al.
Published: (2024)
by: Tan, Juntao, et al.
Published: (2024)
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
by: Manderlier, Maxime, et al.
Published: (2025)
by: Manderlier, Maxime, et al.
Published: (2025)
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)
by: Wu, Zhuo, et al.
Published: (2024)
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
by: Deldjoo, Yashar, et al.
Published: (2024)
by: Deldjoo, Yashar, 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)
From AutoRecSys to AutoRecLab: A Call to Build, Evaluate, and Govern Autonomous Recommender-Systems Research Labs
by: Beel, Joeran, et al.
Published: (2025)
by: Beel, Joeran, et al.
Published: (2025)
Dataset Pruning in RecSys and ML: Best Practice or Mal-Practice?
by: Winter, Leonie
Published: (2025)
by: Winter, Leonie
Published: (2025)
Blending Sequential Embeddings, Graphs, and Engineered Features: 4th Place Solution in RecSys Challenge 2025
by: Makeev, Sergei, et al.
Published: (2025)
by: Makeev, Sergei, et al.
Published: (2025)
TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
by: Shin, Yehjin, et al.
Published: (2025)
by: Shin, Yehjin, et al.
Published: (2025)
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
by: Jha, Gopi Krishna, et al.
Published: (2023)
by: Jha, Gopi Krishna, et al.
Published: (2023)
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
by: Jiang, Zhenhao, et al.
Published: (2024)
by: Jiang, Zhenhao, 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)
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
by: Sun, Yi, et al.
Published: (2024)
by: Sun, Yi, et al.
Published: (2024)
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)
by: Cao, Panfeng, et al.
Published: (2024)
Learning Retrieval Models with Sparse Autoencoders
by: Formal, Thibault, et al.
Published: (2026)
by: Formal, Thibault, et al.
Published: (2026)
Early prediction of onset of sepsis in Clinical Setting
by: Mohammad, Fahim, et al.
Published: (2024)
by: Mohammad, Fahim, et al.
Published: (2024)
An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders
by: Feng, Shuang, et al.
Published: (2024)
by: Feng, Shuang, et al.
Published: (2024)
Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems
by: Khani, Nikhil, et al.
Published: (2024)
by: Khani, Nikhil, et al.
Published: (2024)
When Search Engine Services meet Large Language Models: Visions and Challenges
by: Xiong, Haoyi, et al.
Published: (2024)
by: Xiong, Haoyi, et al.
Published: (2024)
From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
by: Le, Ngoc Luyen, et al.
Published: (2025)
by: Le, Ngoc Luyen, et al.
Published: (2025)
Test-time Corpus Feedback: From Retrieval to RAG
by: Rathee, Mandeep, et al.
Published: (2025)
by: Rathee, Mandeep, et al.
Published: (2025)
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
by: Lukasik, Michal, et al.
Published: (2025)
by: Lukasik, Michal, et al.
Published: (2025)
Q-Regularized Generative Auto-Bidding: From Suboptimal Trajectories to Optimal Policies
by: Zhang, Mingming, et al.
Published: (2026)
by: Zhang, Mingming, et al.
Published: (2026)
RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents
by: Aouali, Imad, et al.
Published: (2026)
by: Aouali, Imad, et al.
Published: (2026)
Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
by: Wu, Yi, et al.
Published: (2024)
by: Wu, Yi, et al.
Published: (2024)
From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model
by: Ju, Yeong-Joon, et al.
Published: (2025)
by: Ju, Yeong-Joon, et al.
Published: (2025)
Preference Discerning with LLM-Enhanced Generative Retrieval
by: Paischer, Fabian, et al.
Published: (2024)
by: Paischer, Fabian, et al.
Published: (2024)
LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation
by: Xiong, Lee, et al.
Published: (2026)
by: Xiong, Lee, et al.
Published: (2026)
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
by: Ju, Wei, et al.
Published: (2024)
by: Ju, Wei, et al.
Published: (2024)
Large language models can accurately predict searcher preferences
by: Thomas, Paul, et al.
Published: (2023)
by: Thomas, Paul, et al.
Published: (2023)
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
by: Ebrahimzadeh, Ehsan, et al.
Published: (2024)
by: Ebrahimzadeh, Ehsan, et al.
Published: (2024)
Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
by: Huang, Yizheng, et al.
Published: (2024)
by: Huang, Yizheng, et al.
Published: (2024)
The Factuality of Large Language Models in the Legal Domain
by: Hamdani, Rajaa El, et al.
Published: (2024)
by: Hamdani, Rajaa El, et al.
Published: (2024)
Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
by: Fabbri, Francesco, et al.
Published: (2025)
by: Fabbri, Francesco, et al.
Published: (2025)
A Semi-Automated Solution Approach Recommender for a Given Use Case: a Case Study for AI/ML in Oncology via Scopus and OpenAI
by: Kılıç, Deniz Kenan, et al.
Published: (2023)
by: Kılıç, Deniz Kenan, et al.
Published: (2023)
VDCook:DIY video data cook your MLLMs
by: Wu, Chengwei
Published: (2026)
by: Wu, Chengwei
Published: (2026)
Session-based Recommender Systems: User Interest as a Stochastic Process in the Latent Space
by: Balcer, Klaudia, et al.
Published: (2025)
by: Balcer, Klaudia, et al.
Published: (2025)
Similar Items
-
From Variability to Stability: Advancing RecSys Benchmarking Practices
by: Shevchenko, Valeriy, et al.
Published: (2024) -
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations
by: Kruse, Johannes, et al.
Published: (2024) -
IDGenRec: LLM-RecSys Alignment with Textual ID Learning
by: Tan, Juntao, et al.
Published: (2024) -
From latent factors to language: a user study on LLM-generated explanations for an inherently interpretable matrix-based recommender system
by: Manderlier, Maxime, et al.
Published: (2025) -
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models
by: Wu, Zhuo, et al.
Published: (2024)