What makes a recommendation stand out?
Is it just the quality of the product itself that you see? The relevance of this item in the context of what you’re looking at? Maybe it’s simply that some use-cases shine while others are, hum, interesting?
In this talk, Paul-Louis will walk you through several real-life examples using LookingSimilar to provide visual recommendations to various kinds of users. You’ll see use-cases that are really good, some initiatives that are rather bad… and a few experiments which can only be described as ugly.
The audience will get tips to find what kind of use-cases would benefit most from Image Recommendations, and how to adapt their data to make the most of it!
This video was recorded during Algolia DevBit on March 27th, 2024.
It was presented by Paul-Louis Nech, Senior ML Engineer | GenAI & Recommend at Algolia
Learn more about Algolia on https://algolia.com/developers
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