A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data. (arXiv:2211.02533v1 [cs.IR])

The substitute-based recommendation is widely used in E-commerce to provide
better alternatives to customers. However, existing research typically uses the
customer behavior signals like co-view and view-but-purchase-another to capture
the substitute relationship. Despite its intuitive soundness, we find that such
an approach might ignore the functionality and characteristics of products. In
this paper, we adapt substitute recommendation into language matching problem
by taking product title description as model input to consider product
functionality. We design a new transformation method to …

arxiv behavior data recommendation recommendation model transformer