AgenticRS-Architecture: System Design for Agentic Recommender Systems
arXiv 2603.26085•28cbff791acb0395b3a2aef30cc790cd5e131953c8221f7c57ac560bf14193dc
LLM personalizationacademic researchagentic AIbenchmarkingdata leakageinformation retrievalknowledge graphsmachine learning reproducibilitymultimodal recommendationrecommender systems
Paper metadata
- arXiv ID
- 2603.26085
- Version
- Not specified by this published record
- Category
- Computer Science — Information Retrieval (cs.IR)
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Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- 28cbff791acb0395b3a2aef30cc790cd5e131953c8221f7c57ac560bf14193dc
- Enrichment time
- 2026-08-16T13:06:11Z
- AI-assisted enrichment
- Yes
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