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Author

Ruiming Tang

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Preprint Oct 2026

ECHO: Efficient Cascade with Homogeneous Operators for Distillation-Guided 100K-Sequence Modeling

Modeling lifetime user behavior sequences is essential for capturing long-range preferences in industrial recommendation, yet 100K-length user sequences make target-aware ranking prohibitively expensive. Search-based methods that retrieve from raw sequences incur candidate-dependent costs that grow with sequence length...

Wen-Hao Li, Qing-Lin Jia, Cheng-Hou Jin et al. · 0 citations
Preprint Sep 2026

Inherit4Rec: Parameter Inheritance for Efficient Scaling of Recommendation Models

The effectiveness of Inherit4Rec for continual capacity expansion and computation-efficient sparse conversion in industrial recommender systems is demonstrated, and both transformations consistently outperform the evaluated inheritance baselines across all prediction objectives.

Rui-Hao Zhang, Bo Chen, Xiao Wang et al. · 0 citations
Preprint Aug 2026

SITA: Semantic Interest Tokens for Target-Aware Compression in Long-Sequence Recommendation

SITA enables target-aware compression by organizing compressed interests into semantic structures through semantic identifiers learned via parallel semantic quantization, conditioned on the semantic identifier of the target item, and adaptively aggregates the corresponding structured interests to construct the target-s...

Rui Zhou, Bo Chen, Qinglin Jia et al. · 0 citations

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