Semantic vector search is a self-learning product discovery system that can be trained to achieve great business goals, such as click-through rate or ...
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Jan 9, 2020 · This article describes semantic vector search, the next major step in the quest to provide relevant and timely search results.
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Drive more sales with our Enterprise and eCommerce Search Solutions.Customized search to help users easily find products through predictive recommendations.
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Leveraging over two decades of experience, Grid Dynamics is the partner of choice for Fortune 500 companies seeking transformative digital solutions.
Sep 16, 2020 · In this blog post, we will describe a practical blueprint of building a concept-oriented query parser based on open source search engines, such ...
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Delight customers with recommendations that can understand fashion and decor. Let shoppers find products they're looking for—AI visual search for eCommerce.
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A semantic layer is a comprehensive and user-centric data solution that transcends the confines of siloed data sources, lakes, and warehouses.
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Sep 4, 2020 · In this blog post, we will explore the benefits of expanding the coverage of machine learning models to the core part of the search workflow – ...
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Learn how e-commerce sparse neural search, SPLADE, leverages sparse lexical representations & query expansion for more relevant product ranking & search ...
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Build accurate, fast, and scalable applications using vector data and similarity search. No need...