arXiv (OAI Expanded)
open access
CORAL: An LLM-Native Harness for Production Recommender Systems
Production recommender systems shape what billions of people see, and sustaining their performance requires continual optimization: as content, user behavior, and upstream models shift, the choices governing retrieval, ranking, and serving must be revisited. Traditionally, human engineers test such
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CORAL: An LLM-Native Harness for Production Recommender Systems#924866
- Lightweight Ranking Heads: Accelerating Multi-Task Experimentation in Production Recommender Systems#1061073
- Auto-RecSys: Harnessing Autonomous Research Agents for Industry-Scale Recommender System#998497
- AutoRecLab: Describe the Experiment, Get the Code!#1036252
- AutoRecLab: Describe the Experiment, Get the Code!#1006858
Record · ID 920632
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive