Ten Errors to Keep away from When Making a Advice System « Machine Studying Occasions

Initially printed in Medium.com, July 27, 2022. 

We’ve been lengthy engaged on enhancing the consumer expertise in UGC merchandise with machine studying. Listed here are our ten key classes of implementing suggestion programs in enterprise to construct a extremely good product.

1. Outline a Purpose that Actually Contributes to the Enterprise Duties

The worldwide job of the advice system is to pick a shortlist of content material from a big catalog that’s best suited for a selected consumer. The content material itself will be completely different — from merchandise within the on-line retailer and articles to banking companies. FunCorp product crew works with probably the most attention-grabbing sort of content material — we advocate memes.

To do that, we depend on the historical past of the consumer’s interplay with the service. However “good suggestions” from a consumer perspective and from a enterprise perspective are usually not all the time the identical factor. For instance, we discovered that rising the variety of likes {that a} consumer clicks due to extra correct suggestions doesn’t have an effect on retention, a metric that’s essential for our enterprise. So we began specializing in fashions that optimize time spent within the app as a substitute of likes.

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