How Can You Use a Recommendation Engine to Deliver Personalized Experience?

The need to cope with ongoing trends in the market has led people to watch and buy products that their friends might like. Alie has taken this into account and built an algorithm named ‘other user’s choice.’ This algorithm analyzes the behavior of users, their likes and dislikes, and the products that they buy. This is done through deep learning and using collaborative filtering. Once Alie analyzes the user’s activity on the website, it then clusters the users according to their preferences. When someone wants to buy a Pen, the recommendation engine will also recommend a notebook because someone else also bought it. 

The benefit of Using Alie’s Other User’s Choice Algorithm – 

1. Deliver Personalized Homepage Experience

When you know someone’s likes and dislikes, it is easier to make a personalized homepage for them. Most importantly, a personalized homepage can be appealing to any user, increasing the time being spent on your website. 

2. Diversify Item Recommendation

The most crucial factor in collaborative filtering is that it keeps on learning new things. Basically, every time a user buys a new product, recommendation engine updates its data. So, next time it will recommend new products to users. 

3. Easy to Implement

Alie believes in customer supremacy. So, it provides a hassle-free experience when it is time to integrate Alie with your website. All you have to do is log in to the Alie CMS, create a new project, and then add your website’s data through APIs or JS Plugins. Once you have done this, all you need to do is choose ‘Other User’s Choice,’ and voila, you are ready to go. 

Use Case of Other User’s Choice

Jenny and Ross watched the series ‘Friends,’ and they both liked it. So, when Jenny watched the ‘Big Bang Theory’ Series, Alie recommended Big Bang Theory to Ross.

Wrapping Up

To know more about how you can use Alie’s Other User’s Choice algorithm and other features that come with it, try the 14-day free trial of Alie.