40 citations · 40 across the 4 of their papers we have counts for
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Is Personalized Modality Weighting Actually Personalized? A Controlled Audit of Per-User Weighting Claims in Multimodal Recommenders
Jingyuan Zheng, Xin Zhang, Yang Gu +6
Per-user modality weighting is deployed at billion-user scale in multimodal recommenders, through user modality-strength vectors, attention gates, meta-weight hypernetworks, and lo…
Melo: A Production LLM-Powered Music Recommendation Agent
Shijia Wang, Da Guo, Qiang Xiao +4
We describe Melo, an LLM-powered music recommendation agent deployed on NetEase Cloud Music. Melo is structured as a deterministic five-node state graph over heterogeneous tools, w…
SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents
Jingyuan Zheng, Dongjing Wang, Xin Zhang +7
Reusable agent skills are emerging as a service-oriented capability layer for Large Language Model (LLM) agents. Unlike plain retrieval items, a skill exposes functional capabiliti…
TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation
Jianqing Zhang, Dongjing Wang, Dongjin Yu
Recently, deep neural networks are widely applied in recommender systems for their effectiveness in capturing/modeling users' preferences. Especially, the attention mechanism in de…