Balancing Trial and Reorder: A Hybrid Sequential Transformer-GBDT Ranker for On-Demand Delivery

arXiv:2609.16407 · cs.IR, cs.AI, cs.LG · Submitted 2026-09-14 · Read on arXiv

cs.IR, cs.AI, cs.LG

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: 10 pages, 4 figures, 5 tables

Project page: https://earl-workshop.github.io/pdf/recsys2025-workshops_

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 35× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Steering — 3× in this paper · explained in 2 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Universal Venue Ranker — 3× in this paper
• Benchmarking — 2× in this paper · explained in 4 episodes
• Core — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Generative Recommendation — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Data Mining — 1× in this paper
• Personalization — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

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