I am trying to build a recommendation engine for an e-commerce company and I have the following input files :
1) past user transactions + in-app events 2) a new list of campaigns I should recommend every month
Now, I want to build a popularity baseline model to deploy in production and further use it as a benchmark for a user-based and item-based collaborative filtering model that I further want to develop.
The problem is that from my research online, a big part of the use-cases online for building recommendation engine are with rating-based date (eg MovieLens) and for purchase date I only found some examples with
Do you have any suggestions for resources/libraries for building recommendation engines for e-commerce? (preferably Python/Scala)