Semantic IDs for Music Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Mei, M. Jeffrey, Henkel, Florian, Sandberg, Samuel E., Bembom, Oliver, Ehmann, Andreas F. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Negative Feedback for Music Personalization
por: Mei, M. Jeffrey, et al.
Publicado: (2024)
por: Mei, M. Jeffrey, et al.
Publicado: (2024)
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
por: Singh, Anima, et al.
Publicado: (2023)
por: Singh, Anima, et al.
Publicado: (2023)
Variable-Length Semantic IDs for Recommender Systems
por: Khrylchenko, Kirill
Publicado: (2026)
por: Khrylchenko, Kirill
Publicado: (2026)
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations
por: McCallum, Matthew C., et al.
Publicado: (2024)
por: McCallum, Matthew C., et al.
Publicado: (2024)
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search
por: McCallum, Matthew C., et al.
Publicado: (2024)
por: McCallum, Matthew C., et al.
Publicado: (2024)
Generating Long Semantic IDs in Parallel for Recommendation
por: Hou, Yupeng, et al.
Publicado: (2025)
por: Hou, Yupeng, et al.
Publicado: (2025)
Semantic IDs for Joint Generative Search and Recommendation
por: Penha, Gustavo, et al.
Publicado: (2025)
por: Penha, Gustavo, et al.
Publicado: (2025)
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
por: Melchiorre, Alessandro B., et al.
Publicado: (2025)
por: Melchiorre, Alessandro B., et al.
Publicado: (2025)
Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search
por: Severo, Daniel, et al.
Publicado: (2025)
por: Severo, Daniel, et al.
Publicado: (2025)
Generative Recommendation with Semantic IDs: A Practitioner's Handbook
por: Ju, Clark Mingxuan, et al.
Publicado: (2025)
por: Ju, Clark Mingxuan, et al.
Publicado: (2025)
Decoupled Residual Quantization for Robust Semantic IDs in Recommendation
por: Wang, Xuesi, et al.
Publicado: (2026)
por: Wang, Xuesi, et al.
Publicado: (2026)
Unleash the Potential of Long Semantic IDs for Generative Recommendation
por: Xia, Ming, et al.
Publicado: (2026)
por: Xia, Ming, et al.
Publicado: (2026)
Words to Waves: Emotion-Adaptive Music Recommendation System
por: Chavali, Apoorva, et al.
Publicado: (2025)
por: Chavali, Apoorva, et al.
Publicado: (2025)
FusID: Modality-Fused Semantic IDs for Generative Music Recommendation
por: Kim, Haven, et al.
Publicado: (2026)
por: Kim, Haven, et al.
Publicado: (2026)
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
por: Seshadri, Pavan, et al.
Publicado: (2023)
por: Seshadri, Pavan, et al.
Publicado: (2023)
DOS: Dual-Flow Orthogonal Semantic IDs for Recommendation in Meituan
por: Yin, Junwei, et al.
Publicado: (2026)
por: Yin, Junwei, et al.
Publicado: (2026)
Towards Scalable Semantic Representation for Recommendation
por: Zhang, Taolin, et al.
Publicado: (2024)
por: Zhang, Taolin, et al.
Publicado: (2024)
DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System
por: Ye, Wencai, et al.
Publicado: (2025)
por: Ye, Wencai, et al.
Publicado: (2025)
Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning
por: Luo, Chaoguang, et al.
Publicado: (2024)
por: Luo, Chaoguang, et al.
Publicado: (2024)
STARS: Semantic Tokens with Augmented Representations for Recommendation at Scale
por: Chen, Han, et al.
Publicado: (2025)
por: Chen, Han, et al.
Publicado: (2025)
Reasoning over Semantic IDs Enhances Generative Recommendation
por: He, Yingzhi, et al.
Publicado: (2026)
por: He, Yingzhi, et al.
Publicado: (2026)
SemSR: Semantics aware robust Session-based Recommendations
por: Narwariya, Jyoti, et al.
Publicado: (2025)
por: Narwariya, Jyoti, et al.
Publicado: (2025)
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
por: Jiang, Jie, et al.
Publicado: (2026)
por: Jiang, Jie, et al.
Publicado: (2026)
Contributions to Representation Learning with Graph Autoencoders and Applications to Music Recommendation
por: Salha-Galvan, Guillaume
Publicado: (2022)
por: Salha-Galvan, Guillaume
Publicado: (2022)
CapsID: Soft-Routed Variable-Length Semantic IDs for Generative Recommendation
por: Cheng, Wenzhuo, et al.
Publicado: (2026)
por: Cheng, Wenzhuo, et al.
Publicado: (2026)
From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization
por: Hu, Peiyu, et al.
Publicado: (2025)
por: Hu, Peiyu, et al.
Publicado: (2025)
Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks
por: Zheng, Hongye, et al.
Publicado: (2025)
por: Zheng, Hongye, et al.
Publicado: (2025)
CAST: Modeling Semantic-Level Transitions for Complementary-Aware Sequential Recommendation
por: Zhang, Qian, et al.
Publicado: (2026)
por: Zhang, Qian, et al.
Publicado: (2026)
Smart E-commerce Recommendations with Semantic AI
por: Badouch, M., et al.
Publicado: (2024)
por: Badouch, M., et al.
Publicado: (2024)
Socially Aware Music Recommendation: A Multi-Modal Graph Neural Networks for Collaborative Music Consumption and Community-Based Engagement
por: Ziaoddini, Kajwan
Publicado: (2025)
por: Ziaoddini, Kajwan
Publicado: (2025)
Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
por: Chan, Audrey, et al.
Publicado: (2026)
por: Chan, Audrey, et al.
Publicado: (2026)
Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices
por: Ju, Clark Mingxuan, et al.
Publicado: (2026)
por: Ju, Clark Mingxuan, et al.
Publicado: (2026)
Does Weighting Improve Matrix Factorization for Recommender Systems?
por: Ayoub, Alex, et al.
Publicado: (2025)
por: Ayoub, Alex, et al.
Publicado: (2025)
SIGMA: A Semantic-Grounded Instruction-Driven Generative Multi-Task Recommender at AliExpress
por: Yu, Yang, et al.
Publicado: (2026)
por: Yu, Yang, et al.
Publicado: (2026)
Stop Treating Collisions Equally: Qualification-Aware Semantic ID Learning for Recommendation at Industrial Scale
por: Hu, Zheng, et al.
Publicado: (2026)
por: Hu, Zheng, et al.
Publicado: (2026)
Multimodal Music Recommendation System using LLMs
por: Kandagatla, Srikar Prabhas, et al.
Publicado: (2026)
por: Kandagatla, Srikar Prabhas, et al.
Publicado: (2026)
Advancing Cultural Inclusivity: Optimizing Embedding Spaces for Balanced Music Recommendations
por: Moradi, Armin, et al.
Publicado: (2024)
por: Moradi, Armin, et al.
Publicado: (2024)
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
por: Liu, Ziwei, et al.
Publicado: (2025)
por: Liu, Ziwei, et al.
Publicado: (2025)
From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs
por: Yan, Chenyi, et al.
Publicado: (2026)
por: Yan, Chenyi, et al.
Publicado: (2026)
Semantic Search and Recommendation Algorithm
por: Duhan, Aryan, et al.
Publicado: (2024)
por: Duhan, Aryan, et al.
Publicado: (2024)
Ejemplares similares
-
Negative Feedback for Music Personalization
por: Mei, M. Jeffrey, et al.
Publicado: (2024) -
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations
por: Singh, Anima, et al.
Publicado: (2023) -
Variable-Length Semantic IDs for Recommender Systems
por: Khrylchenko, Kirill
Publicado: (2026) -
On the Effect of Data-Augmentation on Local Embedding Properties in the Contrastive Learning of Music Audio Representations
por: McCallum, Matthew C., et al.
Publicado: (2024) -
Similar but Faster: Manipulation of Tempo in Music Audio Embeddings for Tempo Prediction and Search
por: McCallum, Matthew C., et al.
Publicado: (2024)