Transformer-Empowered Content-Aware Collaborative Filtering

no code implementations • 2 Apr 2022 • Weizhe Lin, Linjun Shou, Ming Gong, Pei Jian, Zhilin Wang, Bill Byrne, Daxin Jiang

Knowledge graph (KG) based Collaborative Filtering is an effective approach to personalizing recommendation systems for relatively static domains such as movies and books, by leveraging structured information from KG to enrich both item and user representations.

Collaborative Filtering Contrastive Learning +1

Data Pricing in Machine Learning Pipelines

no code implementations • 18 Aug 2021 • Zicun Cong, Xuan Luo, Pei Jian, Feida Zhu, Yong Zhang

We also investigate pricing in the step of collaborative training of machine learning models, and overview pricing machine learning models for end users in the step of machine learning deployment.

BIG-bench Machine Learning