Once Generated, Ranked: End-to-End Generative Slate Recommendation with Unified Semantic-Collaborative IDs¶

Fidelity: core mechanism. Paper results, public-data measurements, and omissions are separate.

Paper information¶

Field	Details
Paper	arXiv 2608.17613
Organization	Kuaishou Technology
First public release	2026-08-18 (arXiv v1)
Authors' code	The paper did not provide official or author code when checked on 2026-08-24.
Adapter / method	`ogr`
Local reproduction code	`src/auto_research/reproductions/ogr/`

Original paper¶

Motivation and method¶

TUSID combines semantic and collaborative codes. GL2P plans the whole slate, then SPA aligns to list-level feedback with conservative policy optimization.

flowchart LR
 A["Unified SID"] --> B["Slate preference planning"] --> C["Conservative policy alignment"]

Key figure from the paper¶

Figure 1: Core architecture, modules, and connections. From the original paper; copyright remains with the authors.

Core equations¶

\[ J_{SPA}=\mathbb E[R(Y)]-\beta D_{KL}(\pi_\theta\|\pi_{SFT}) \]

Paper results¶

The main online result is Effective Views +1.12% at 3% production traffic. Offline tables and online metrics use private or paper-specific protocols. The private paper protocol is not directly comparable with local MovieLens measurements.

Local reproduction¶

Local comparison: The baseline is the shared transition + content scorer. The treatment adds only ogr on the same users, items, full-catalog candidates, and seed.

MovieLens-100K, 220 users and 360 items, seed 42: NDCG@10 0.0540 → 0.0612 (+13.25%); Hit@10 0.1091 → 0.1000. Validation selects mixture weights only; the test set is not used for tuning.

auto-research reproduce --paper ogr --dataset-dir data --seed 42

See the fixed metrics.

Reproduction boundaries¶

The core mechanism runs on MovieLens-100K with the same split, fixed full-catalog candidates, and seed. Private features, the production foundation model, and online traffic are unavailable. The implementation has independent model state and scoring, rather than mapping a paper name to a shared weighted formula. See the adapter's omitted_core_components for omissions. Local changes and paper A/B gains are reported separately.