One4all User Representation for Recommender Systems in E-commerce

Understand

General-purpose representation learning through large-scale pre-training has shown promising results in the various machine learning fields.

• For an e-commerce domain, the objective of general-purpose, i.e., one for all, representations would be efficient applications for extensive downstream tasks such as user profiling, targeting, and recommendation tasks.
• In this paper, we systematically compare the generalizability of two learning strategies, i.e., transfer learning through the proposed model, ShopperBERT, vs.
• learning from scratch.