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query2vec: Latent Query 3D Embedding Space for “Maki Combo” search query Discovery and understanding of a product catalog is an important part of any e-commerce business. The traditional — and difficult — method is to learn product interactions by building manual taxonomies. However, at Grubhub we leverage recent advancements in Representation Learning — namely Sequential Modeling and Language Mod
Here at Grubhub, we use Java for most of our backend programming. Java is a battle-tested language that has proven its speed and reliability over the last 20 years. While we have been using Java for many years, recently, it has started to show its age. Although Java is one of the most popular JVM languages, it’s not the only one. In the last few years, it’s faced several challengers, such as Scala
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