MMGRec: Multimodal Generative Recommendation with Transformer Model

[PDF] arxiv.org

Vector Quantization for Recommender Systems: A Review and Outlook

Q Liu, X Dong, J Xiao, N Chen, H Hu, J Zhu… - arXiv preprint arXiv …, 2024 - arxiv.org
Vector quantization, renowned for its unparalleled feature compression capabilities, has
been a prominent topic in signal processing and machine learning research for several …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Structure-aware Semantic Node Identifiers for Learning on Graphs

Y Luo, Q Liu, L Shi, XM Wu - arXiv preprint arXiv:2405.16435, 2024 - arxiv.org
We present a novel graph tokenization framework that generates structure-aware, semantic
node identifiers (IDs) in the form of a short sequence of discrete codes, serving as symbolic …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

Multi-Behavior Generative Recommendation

Z Liu, Y Hou, J McAuley - arXiv preprint arXiv:2405.16871, 2024 - arxiv.org
Multi-behavior sequential recommendation (MBSR) aims to incorporate behavior types of
interactions for better recommendations. Existing approaches focus on the next-item …
相关文章 所有 2 个版本