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Dynamic Yield s Deep Learning Product Recommendations Generate Exponential Revenue Returns Customers implementing the self-training algorithm have witnessed double-digit uplifts in purchases and incremental revenue, compared to other personalized recommendation strategies NEW YORK, April 28, 2021 /PRNewswire/ Dynamic Yield, the Experience Optimization platform, today announced the gradual release of its state-of-the-art, self-training Deep Learning Recommendations Algorithm, enabling brands to predict the next series of products a consumer is most likely to buy. Today, product recommendations are an essential requirement for any eCommerce business looking to increase engagement, purchases, and loyalty. However, a consistent challenge for marketers and merchandisers has been determining which products among a massive catalog of items to serve customers with various preferences and levels of intent.

Nadav yekutielKostenloser wertpapierhandelTerri shapiroExperience optimizationDeep learning recommendations algorithmDeep learning based recommendationsNatural language processingLiad agmonDeep learningDynamic yieldDeep learning recommendationஅனுபவம் தேர்வுமுறைஇயற்கை மொழி ப்ரோஸெஸிஂக்ஆழமான கற்றல்மாறும் மகசூல்ஆழமான கற்றல் பரிந்துரை