Examples of Successful Recommender Systems for E-commerce
Introduction Recommender systems play a crucial role in today’s e-commerce industry. They help businesses personalize the shopping experience for their customers by suggesting relevant products
=> Weaviate’s retrieval first phase is based on highly efficient bi-encoder sentence transformers.
=> Reranking is more CPU consuming, especially with cross-encoders, hence is used on a second phase, and only on the first phase retrieved results.
WooCommerce demo comparing a plain bi-encoder retrieval with a cross-encoder reranker: https://lnkd.in/eBnnd4wj
WPSOLR 23.3: https://lnkd.in/ej2mmbRc
WPSOLR + Weaviate rerankers: https://lnkd.in/emg3QUsb
#reranking #cohere #weaviate #wpsolr #crossencoder #woocommerce