Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
arXiv 2603.24750•b17bb8fd2572bdfd716aefc268306fe4ef1f1f9de8ad808df41c396c95a63fb8
LLM-authoritybias-and-fairnesscontinual-learningdataset-distillationgpu-kernel-optimizationmachine-learningmisinformationmodel-efficiencyprivacy-riskrecommender-systemsretrieval-augmented-generationsequential-recommendationsparse-retrievaltopic-modelinguser-data-sensitive
Paper metadata
- arXiv ID
- 2603.24750
- 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
- b17bb8fd2572bdfd716aefc268306fe4ef1f1f9de8ad808df41c396c95a63fb8
- Enrichment time
- 2026-03-27T08:52:20Z
- AI-assisted enrichment
- Yes
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