Training seeds and model-selection stability in recommender-system evaluation

arXiv:2609.02499 · cs.IR, cs.LG · Submitted 2026-09-02 · Read on arXiv

cs.IR, cs.LG

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/knife982000/RecSeed

Terminology

• Consistency — 4× in this paper · explained in 3 episodes
• Regret — 4× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• IEEE International Conference on Data Mining — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models

Related papers

• The Price of Isolation: Estimating the Ecosystem Cost of Symmetric Two-Sided A/B Testing
• SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
• MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
• RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
• Right Family, Wrong Skill: Evaluating Risk Exposure in Agent Skill Retrieval
• UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG