ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest. (arXiv:2205.11728v1 [cs.IR])

Learned embeddings for products are an important building block for web-scale
e-commerce recommendation systems. At Pinterest, we build a single set of
product embeddings called ItemSage to provide relevant recommendations in all
shopping use cases including user, image and search based recommendations. This
approach has led to significant improvements in engagement and conversion
metrics, while reducing both infrastructure and maintenance cost. While most
prior work focuses on building product embeddings from features coming from a
single modality, we introduce a …

arxiv learning pinterest product recommendations shopping