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Andres Velez, Principal Data Scientist at OfferUp, explains how Amazon Titan Multimodal Embeddings increased relevance recall by 27% in high density locations with respect to semantic search by finding the relationship between search data, matching results and user interest. This solution merges concise textual descriptions and image data from product listings to generate comprehensive and precise embeddings for each listing. Even listings with minimal initial text can now be effectively displayed to potential buyers using the advanced embeddings provided by Amazon Bedrock. The primary advantage of this approach is improved product visibility on OfferUp's marketplace, leading to quicker sales for sellers - ultimately delivering a better overall experience for both buyers and sellers. Learn more at: go.aws/427KTcy Learn more about AWS events: go.aws/3kss9CP Subscribe: More AWS videos: bit.ly/2O3zS75 More AWS events videos: bit.ly/316g9t4 ABOUT AWS A...
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