Jing Jiang

activity

20242026

most citedTag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential Recommendation

1 citations · 2 across the 5 of their papers we have counts for

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3 papers · 1 filter

cs.IR2026

Federated Semantic Residuals for Multimodal Recommendation

Zhiwei Li, Guodong Long, Chengqi Zhang +1

Federated Recommendation Systems (FedRSs) learn collaborative scores from interaction histories on device and rank items by them, so a higher score means a higher rank. Item text a…

math.FA2026

Symmetric Bases and $ℓ^{p}$ Embeddings in Musielak--Orlicz Sequence Spaces under $δ_{2}$

Valentin Georgiev, Boyan Zlatanov

We study isomorphic embeddings into Musielak-Orlicz sequence spaces $\ell_Φ$, where the normalized generating sequence $Φ=\{ϕ_n\}$ satisfies the $δ_2$ condition. Using admiss…

cs.AI2026

Content Depth Matters in Short-Video Recommendation: Rethinking the Attention Economy

Liwei Deng, Jing Jiang, Zhiwei Li +2

Driven by the attention economy, short-video Recommender Systems (RSs) are primarily optimized to maximize user engagement by promoting videos that capture attention within seconds…

Federated Semantic Residuals for Multimodal Recommendation

Symmetric Bases and ℓp Embeddings in Musielak--Orlicz Sequence Spaces under δ2​

Content Depth Matters in Short-Video Recommendation: Rethinking the Attention Economy

Symmetric Bases and $ℓ^{p}$ Embeddings in Musielak--Orlicz Sequence Spaces under $δ_{2}$