Your customers are about to leave? The secrets of recommendation systems revealed.
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Your customers are about to leave? The secrets of recommendation systems revealed.
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About this listen
This article explains how generative AI can be used to improve customer retention by leveraging data and personalizing recommendations. It explores the principles of collaborative filtering, a recommendation technique based on the preferences of similar users, and examines the challenges associated with data sparsity and potential biases.
The episode also explains how "prompt engineering" can be used to optimize AI results by providing precise instructions on how to use the data. Finally, it emphasizes the importance of understanding the concepts of similarity, distance, and regularization to generate relevant and ethical recommendations.
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In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.