7 citations · 13 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
PIANO: Personalized Reranking via Information Aggregation Node for Music Search Optimization
Weisheng Li, Chuqiao Huang, Pengcheng Li +5
Unlike short-video content, music tracks have long lifecycles and lasting value. Effective music search re-ranking must therefore align the user's current query with long-term pref…
L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation
Pingjun Pan, Tingting Zhou, Peiyao Lu +3
Adapting large language models (LLMs) for personalized recommendation requires aligning their general-purpose capabilities with user-specific preferences while effectively leveragi…
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
Shijia Wang, Tianpei Ouyang, Qiang Xiao +5
In music recommendation systems, multimodal interest learning is pivotal, which allows the model to capture nuanced preferences, including textual elements such as lyrics and vario…
Climber: Toward Efficient Scaling Laws for Large Recommendation Models
Songpei Xu, Shijia Wang, Da Guo +5
Transformer-based generative models have achieved remarkable success across domains with various scaling law manifestations. However, our extensive experiments reveal persistent ch…