Course

Product Recommendations

This course breaks down the many intricacies of recommender systems and their use in surfacing relevant products throughout the sales funnel, focusing on the algorithms used to power them, filtering rules, and general best practices.

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Lessons

An Introduction to Affinity-Based Recommendations

Learn how affinity-based recommendations use customer interests and behaviors to deliver personalized product suggestions that boost engagement and sales.

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An introduction to product recommender systems

Understand how product recommender systems work, the algorithms behind them, and how personalized recommendations improve shopping experiences.

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Applying merchandising rules to product recommendations

Learn how merchandising rules organize product catalogs, balance business goals with relevance, and create shopping experiences that drive more purchases.

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The rise of deep learning recommendation systems, transformer architecture and large language models

Explore how deep learning recommendation engines uncover complex shopping patterns to deliver relevant product suggestions and increase customer value.

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Impactful techniques to help you ace your product recommendations

Learn how product recommendations work, explore common recommendation models, and deliver relevant shopping experiences that increase engagement and sales.

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The essentials for choosing the right product recommendation strategy

Discover effective product recommendation strategies for every stage of the customer journey to improve product discovery, conversions, and average order value.

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The gold standard for recommendations: An APMEX case study

See how APMEX improved customer engagement and conversions through experimentation, personalization, and data-driven optimization strategies.

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