Theoretical Understandings of Product Embedding for E-commerce Machine Learning

24 February 2021

Chuanwei Ruan

Sushant Kumar

Kannan Achan

Papers citing "Theoretical Understandings of Product Embedding for E-commerce Machine Learning"

4 / 4 papers shown

Title
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta S. Manchanda Sayan Ranu Srikanta J. Bedathur 86 9 0 06 Jun 2023
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation Jaewan Moon Hye-young Kim Jongwuk Lee 86 4 0 22 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 76 3 0 09 Apr 2023
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives Zida Cheng Chuanwei Ruan Siheng Chen Sushant Kumar Ya Zhang 84 16 0 23 Oct 2021