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Theoretical Understandings of Product Embedding for E-commerce Machine
  Learning

Theoretical Understandings of Product Embedding for E-commerce Machine Learning

24 February 2021
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
ArXivPDFHTML

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

3 / 3 papers shown
Title
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and
  Why?
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
Da Xu
Bo Yang
30
3
0
09 Apr 2023
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the
  Theoretical Perspectives
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives
Zida Cheng
Chuanwei Ruan
Siheng Chen
Sushant Kumar
Ya Zhang
27
16
0
23 Oct 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
320
31,297
0
16 Jan 2013
1