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HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

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HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling has 9 facts recorded in Dontopedia across 1 reference, with 1 live disagreement.

9 facts·5 predicates·1 sources·1 in dispute

Mostly:has author(4), rdf:type(1), has publication date(1)

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Inbound mentions (1)

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:listsResultItem:lists Result Item(1)

Other facts (8)

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8 facts
PredicateValueRef
Has AuthorJunyi Chen[1]
Has AuthorLu Chi[1]
Has AuthorBingyue Peng[1]
Has AuthorZehuan Yuan[1]
Rdf:typeAcademic Paper[1]
Has Publication Date2024-09-19[1]
Has Arxiv Id2409.12740v1[1]
Has SummaryProposes a hierarchical LLM architecture for sequential recommendation systems with item and user modeling, achieving state-of-the-art performance and scalability.[1]

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9 undated
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typeblah/omega/429
ex:AcademicPaper
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labelblah/omega/429
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
—
hasAuthorblah/omega/429
ex:junyi-chen
—
hasAuthorblah/omega/429
ex:lu-chi
—
hasAuthorblah/omega/429
ex:bingyue-peng
—
hasAuthorblah/omega/429
ex:zehuan-yuan
—
hasPublicationDateblah/omega/429
2024-09-19
—
hasArxivIdblah/omega/429
2409.12740v1
—
hasSummaryblah/omega/429
Proposes a hierarchical LLM architecture for sequential recommendation systems with item and user modeling, achieving state-of-the-art performance and scalability.

References (1)

1 references
  1. [1]4299 facts
    ctx:discord/blah/omega/429
    • full textomega-429
      text/plain3 KBdoc:agent/omega-429/6611a74c-d558-4af1-83c7-1408624ac063
      Show excerpt
      [2025-11-30 05:16] omega [bot]: ✅ Responding (99% confidence) ||📋 Reason: AI: The message 'Search arXiv for papers about HLLM' contains no explicit rejection signals (Level 1). It is an indirect request to Omega in the #omega channel to per…

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