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About
Marqo's specialized embedding models for ecommerce are designed to help online retailers improve their search, retrieval, and recommendation tasks. These models, specifically Marqo-Ecommerce-B and Marqo-Ecommerce-L, are optimized for ecommerce and offer enhanced performance in real-world search scenarios, making them ideal for businesses looking to enhance customer experience and increase revenue.
Details
The key features of Marqo's ecommerce embedding models include:
- Multimodal product embeddings: Generate embeddings from images and text to enable accurate search and retrieval
- Ecommerce-specific optimization: Trained on 100s of millions of samples from ~50 million unique products across 20,000 Amazon ASIN categories
- High-performance results: Outperform existing state-of-the-art solutions by up to 88% in certain tasks
- Easy integration: Available on Hugging Face and Marqo Cloud, with easy-to-use APIs and documentation
- Customizable: Can be fine-tuned on your own product catalogs and user behavior using Marqtune
Marqo's ecommerce embedding models, Marqo-Ecommerce-B and Marqo-Ecommerce-L, offer a significant improvement over existing solutions for search, retrieval, and recommendation tasks in
