#DoorDash launched a multimodal #ML system aligning images, text, and user…
#DoorDash launched a multimodal #ML system aligning images, text, and user queries in a shared embedding space.
• Trained on 32M query–product pairs • Uses contrastive learning • Improves semantic search, ranking, and advertising relevance
More details here ⇨ https://bit.ly/41fhrl3
#SoftwareArchitecture #AI #Rankings #Search #VectorDatabases #EmbeddedDatabases #InfoQ
DoorDash Builds DashCLIP to Align Images, Text, and Queries for Semantic Search Using 32M Labels
DoorDash has launched a multimodal machine learning system that aligns product images, text, and user queries in a shared embedding space. Trained on 32 million labeled query-product pairs using contrastive learning, the system improves semantic search, product ranking, and advertising relevance. Embeddings also support other machine learning tasks across the marketplace.
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