Derived from arXiv:2607.17719 - SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategies Refinement in E-Commerce Recommendation
Scanned 9/11/2026
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# SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategies Refinement in E-Commerce Recommendation
Derived from arXiv:2607.17719 - SR-Agent: An Experience-Driven Agentic Framework for Post-Ranking Strategies Refinement in E-Commerce Recommendation
## Core Concept
User experience is a first-class objective in industrial e-commerce recommender systems (RS). Post-ranking strategies, which govern diversity, similarity, and exposure over a ranked list, are widely deployed in industrial RS for their simplicity and low serving cost. However, as the online recommendation environment evolves continuously, these statically configured strategies gradually become stale, degrading the user experience. Refining them typically relies on manual inspection, diagnosis, an...
## Key Insights
- Derived from arXiv:2607.17719
- Published: 2026-07-20
- Utility Score: 1.00
- Authors: Hanchen Yang, Kaiwen Yang, Junpeng Zhuang et al.
## Activation
sr-agent-an-experience-driven-agentic-framework-fo, 2607.17719
## References
- arXiv: https://arxiv.org/abs/2607.17719
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