pith:QCZ42UOE
UniVA: Unified Value Alignment for Generative Recommendation in Online Advertising at Tencent
A unified framework embeds commercial value into every stage of generative advertising recommendation.
arxiv:2605.05803 v2 · 2026-05-07 · cs.IR
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Claims
We propose UniVA, a Unified Value Alignment framework for advertising recommendation. [...] Experiments on the Tencent WeChat Channels advertising platform show that UniVA achieves a 37.04% improvement in offline Hit Rate@100 over the baseline and a 1.5% GMV lift in online A/B tests.
That value-related attributes can be injected into SID tokenization and fused via RL without substantially harming the semantic quality or user-interest alignment of the generated recommendations.
UniVA unifies value alignment in generative recommendation via a Commercial SID tokenizer, eCPM-aware RL decoder, and personalized beam search, reporting 37% offline Hit Rate gains and 1.5% online GMV lift on Tencent WeChat Channels.
Receipt and verification
| First computed | 2026-07-30T01:19:54.998420Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QCZ42UOEPE57MDZ7JKL3ZWI5QU \
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# expect: 80b3cd51c4793bf60f3f4a97bcd91d85153c75815cc6ae44d1b8c8e161aa0db9
Canonical record JSON
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