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We predict predictions - part 2: What to look for in AI-powered prediction tools

In my last blog I put forward my prediction for 2021; it’s going to the year that AI-powered Prediction Technologies take off in a big way.

We predict predictions - part 1: What’s in store for email in 2021?

2021 is going to be the year of the recommendation. Specifically, the adoption and maximization of AI-Powered Prediction technologies.

5. Recommender Systems - Understanding​ Implicit Feedback

Recommender systems rely on two different types of feedback (input). The most convenient is the high quality explicit feedback, that consists of...

4. Collaborative-Filtering Recommender Systems

In my previous article of this recommender systems series, we took a look at the content-based approach to building recommender systems. In this...

3. Content-based Recommender Systems

Let's continue our introduction to recommender systems by digging a bit deeper into content-based recommender systems. 

2. An introduction to Recommender Systems - Basic Models

Having introduced the goals of recommender systems in my previous article, let's carry on talking about the basic models used to develop...

1. An introduction to Recommender Systems - The Goal(s)

This article is written by Riccardo Saccomandi, Co-founder and CTO of Kickdynamic. 

 

Recommender systems started to gain a lot of importance in...

How can AI-powered personalization drive revenue for retailers?

Did you know that Amazon’s product recommendations on site drive 35% of their sales? The revenue-generating potential of real, individualized...

Make your emails do the hard work

You need to personalize email content but it’s only possible if you have data. Whilst most brands collect preference on sign up, and track on-site...

Nailing your cart abandonment emails

The online shopping experience is constantly developing with people often choosing to shop around before committing to a purchase.  Therefore,...

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