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pith:FLFORGOA

pith:2026:FLFORGOAYQFLR45VFX7JQXBA3Q
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UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence

Han Li, Hongwei Zhang, Huanjie Wang, Jiangxia Cao, Jing Yao, Junfeng Shu, Liwei Guan, Qiqiang Zhong, Yiyang Lv, Yiyu Wang, Zhaojie Liu

UxSID uses semantic IDs and dual-level attention to model ultra-long user sequences with target-aware preferences.

arxiv:2605.09040 v3 · 2026-05-09 · cs.AI · cs.IR · cs.LG

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Claims

C1strongest claim

By utilizing Semantic IDs (SIDs) and a dual-level attention strategy, UxSID captures target-aware preferences without the heavy cost of item-specific models... achieving state-of-the-art performance and a 0.337% revenue lift in large-scale advertising A/B test.

C2weakest assumption

That semantic grouping via SIDs plus dual-level attention actually preserves target-aware preferences better than item-specific search or item-agnostic compression without introducing new biases or losing critical signals in the ultra-long sequences.

C3one line summary

UxSID introduces semantic-group shared interest memory with Semantic IDs and dual-level attention to model ultra-long user sequences, claiming state-of-the-art results and a 0.337% revenue lift in advertising A/B tests.

Receipt and verification
First computed 2026-05-20T00:04:35.115672Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2acae899c0c40ab8f3b52dfe985c20dc1cd5cece6267a749edce769301162556

Aliases

arxiv: 2605.09040 · arxiv_version: 2605.09040v3 · doi: 10.48550/arxiv.2605.09040 · pith_short_12: FLFORGOAYQFL · pith_short_16: FLFORGOAYQFLR45V · pith_short_8: FLFORGOA
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/FLFORGOAYQFLR45VFX7JQXBA3Q \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2acae899c0c40ab8f3b52dfe985c20dc1cd5cece6267a749edce769301162556
Canonical record JSON
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