Driving Revenue with Personalization: Recommender Systems Part 3

When

October 5, 2022

11:00 am PDT

Where

Online

Our HOSTS

Wesley (Wes) Cobb, Senior Data Scientist

Wesley Cobb

Principal Data Scientist

Alexandru (Alex) Muresan, Data Scientist at Blueprint Technologies

Alex Muresan

Data Scientist

Recommender Systems Series

Part 3: Personalized Recommendations

We’ve all been semi-creeped out by the way some retailers know exactly what we’re thinking or have been looking for. According to McKinsey, in general, 80% of companies have seen an uplift since implementing personalization. On the other hand, bad personalization can do the exact opposite – 71% of customers feel frustrated when a shopping experience is impersonal. Worse still, 63% of consumers will stop buying from brands that use poor personalization tactics.

The third session of this four-part data science webinar series focuses on collaborative filtering and how it can be used to personalize product suggestions. We will use an in-house implementation of this algorithm that will be applied to a real-world e-commerce dataset. First, we will show participants how to work through analyzing the ratings given by users to various products. Then, we will establish a similarity metric between existing users so we can finally recommend products that are to a particular user’s liking.

Join this webinar to give your online platform a leg up on your competitors and to learn how to get personalization RIGHT.

Missed out on Part 1 or 2? Catch up here: