A neural semantic matcher for product search uses a custom loss on behavior data, n-gram pooling, and hashing to beat prior methods by 4.7% Recall@100 and 14.5% MAP.
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Semantic Product Search
A neural semantic matcher for product search uses a custom loss on behavior data, n-gram pooling, and hashing to beat prior methods by 4.7% Recall@100 and 14.5% MAP.