Probabilistic Residual Learning for Online Recommendations
arXiv 2607.20863•0a5d93c0b58388d06006d99faab80042c7720b3a47ae2e0a23c5e0607bbd0939
LLM-retrieversRAGadversarial-attacksanomaly-detectionapproximate-nearest-neighborcontrollabilitydata-poisoningdefensesembeddingsexplainabilityindustrial-adsknowledge-graphsmodel-robustnessprovable-provenancerecommender-systemsreinforcement-learningretrieval-augmented-generationsparse-featuressplit-knowledge-attacktopology-based-defense
Paper metadata
- arXiv ID
- 2607.20863
- 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
- 0a5d93c0b58388d06006d99faab80042c7720b3a47ae2e0a23c5e0607bbd0939
- Enrichment time
- 2026-07-24T08:52:19Z
- AI-assisted enrichment
- Yes
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