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IntHQ: Task-Interactive Hierarchical Query on Dual-Stream Representations for Generative Recommendation

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

Paper information

Field Details
Paper arXiv 2608.09634
Organization Amap / Alibaba
First public release 2026-08-10 (arXiv v1)
Authors' code The paper did not provide official or author code when checked on 2026-08-24.
Adapter / method inthq
Local reproduction code src/auto_research/reproductions/inthq/

Original paper

Motivation and method

Separate behavior and context streams. The when, where, how, and via task queries retrieve interactively at multiple levels, bringing task signals into the encoder rather than confining them to task heads.

flowchart LR
 A["Long- and short-term dual streams"] --> B["Interactive task queries"] --> C["Hierarchical multitask outputs"]

Key figure from the paper

IntHQ: Task-Interactive Hierarchical Query on Dual-Stream Representations for Generative Recommendation — Figure 1

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

Core equations

\[ h_t=\sum_{m=1}^{M}\operatorname{softmax}(q_tK_m^\top)V_m \]

Paper results

The main online result is UVCTR +1.60% over seven days at 20% per bucket. Offline 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 inthq on the same users, items, full-catalog candidates, and seed.

MovieLens-100K, 220 users and 360 items, seed 42: NDCG@10 0.0540 → 0.0500 (-7.38%); Hit@10 0.1091 → 0.1000. Validation selects mixture weights only; the test set is not used for tuning.

auto-research reproduce --paper inthq --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.