TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems
arXiv 2606.25147•73b39a7e782451a5dba3878eb13ecfc9433828387630eed76f27e9188b90c910
LLMsadaptive-rerankingadvertisingcalibrationdata-poisoningdeanonymization-riskepidemiological-modelingextreme-classificationformal-methodsgenerative-AIlarge-scale-deploymentmodel-cascadesmodel-robustnessonline-ab-testingprivacyrecommender-systemssemantic-idtheorem-graphtokenizationuser-embeddingsvideo-generationzero-shot-retrieval
Paper metadata
- arXiv ID
- 2606.25147
- 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
- 73b39a7e782451a5dba3878eb13ecfc9433828387630eed76f27e9188b90c910
- Enrichment time
- 2026-06-25T08:52:19Z
- AI-assisted enrichment
- Yes
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