How to implement a recommender system

These days, when it comes to

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capturing and holding an audience’s attention you must deliver the most relevant content possible. Whether searching for jobs or something more important, like looking at cat memes, your reader expects to see content relevant to them – personalized content. However, getting your users to optimal digital consumption nirvana (coin new term – check!) can be unexpectedly difficult. While it isn’t rocket science, it does involve some brain power…

Companies like Netflix and Pinterest have tackled this issue and pioneered personalization for their audiences. Through strategic integration of content and product recommendations systems, these two digital powerhouses have seen measurable ROI. Netflix says that its personalization platform saves the company more than $1B annually, and Pinterest estimates that more than 40 percent of user engagement is powered by its Related Pins recommender systems.

https://www.infoworld.com/article/3241852/machine-learning/how-to-implement-a-recommender-system.html