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From the 1 of 19 linked papers with an AI index.

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20242026
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cs.IR2026

Beyond Action Imitation: Learning a Decision-Aware User Simulator for Online Advertising

Zipeng Chen, Jiaer Zheng, Xiangyang Xu +15

The paper introduces DASH, a decision-aware user simulator that generates reasoning traces and predicts actions for online advertising by integrating heterogeneous cross-domain his…

cs.IR2026

Diffusion Language Model for Recommendation

Chengyi Liu, Yongqi Zhou, Junwei Pan +8

Large language model (LLM)-empowered recommender systems have emerged as a promising paradigm for generative recommendation, leveraging their strong semantic reasoning and generati…

cs.IR2026

SIREN: Unified Multi-Granularity Semantic Interaction for Multi-Modal Lifelong User Interest Modeling

Yaqian Zhang, Ruyi Yu, Tianyi Li +13

Industrial recommender systems increasingly leverage lifelong user behavior histories and rich multi-modal content to capture evolving user preferences. However, effectively integr…

cs.IR2026

Asymmetric Generative Recommendation via Kronecker Residual Bridge and Multi-Faceted Hierarchical Quantization

Bin Huang, Xin Wang, Junwei Pan +6

Generative Recommendation (GenRec) models reformulate recommendation as a sequence generation task, representing items as discrete Semantic IDs used symmetrically as both inputs an…

cs.IR2026

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Jin Chen, Shangyu Zhang, Bin Hu +16

The scaling laws for recommender systems have been increasingly validated, where MetaFormer-based architectures consistently benefit from increased model depth, hidden dimensionali…

cs.IR2026

FEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction

Zenan Dai, Jinpeng Wang, Junwei Pan +3

Sequential recommendation models often struggle to capture latent periodic patterns in user interests, primarily due to the noise inherent in time-domain behavioral data. While fre…