Jie Jiang
3 papers · Latest:
Information Retrieval
Unified Value Alignment for Generative Recommendation in Industrial Advertising
UniVA enhances generative recommendation for advertising by aligning commercial value signals across tokenization, decoding, and online serving.
2605.05803
Information RetrievalRankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems
RankUp is a new architecture for large-scale advertising recommenders that prevents representation collapse and boosts expressive capacity.
2604.17878
Information RetrievalTokenFormer: Unify the Multi-Field and Sequential Recommendation Worlds
TokenFormer unifies multi-field and sequential recommendation, overcoming Sequential Collapse Propagation with novel attention and interaction representations.
2604.13737
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