pith:WPHNNMCJ
Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation
A framework with deep interest mining, cross-modal alignment, and quality-aware reinforcement generates higher-quality Semantic IDs for generative recommendation.
arxiv:2604.20861 v3 · 2026-03-03 · cs.IR · cs.AI
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\pithnumber{WPHNNMCJ36VJRKPH5FHH2LCFLS}
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Claims
Extensive experiments demonstrate that our approach consistently outperforms state-of-the-art SID generation methods, achieving superior performance on multiple benchmarks. Ablation studies further validate the effectiveness of each proposed component.
The quality-aware reinforcement mechanism combined with deep interest mining and cross-modal alignment can jointly optimize Semantic ID generation to preserve semantics and distinguish high-quality from low-quality IDs without introducing training instability or new biases.
A new framework integrating deep interest mining, cross-modal semantic alignment, and quality-aware reinforcement learning generates higher-quality Semantic IDs and outperforms prior methods on recommendation benchmarks.
Receipt and verification
| First computed | 2026-06-02T03:05:05.481788Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b3ced6b049dfaa98a9e7e94e7d2c455c950f6854f32d8fe86ec22167fe5ef482
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WPHNNMCJ36VJRKPH5FHH2LCFLS \
| 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: b3ced6b049dfaa98a9e7e94e7d2c455c950f6854f32d8fe86ec22167fe5ef482
Canonical record JSON
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