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Oliver, Anton congrats with a launch. RecSys analyst here.

Correct me if I wrong, but afaiu, you have designed a black-box content-based recommender system for e-commerce domain by scrapping publicly available data. I love your business model, though I have a couple questions:

1. A/B testing in RecSys is a tricky process in terms of further interpretation. How do you choose the control and test group? I would love to go beyond revenue percentage influx while considering the new model. Btw, do you have your own A/B testing environment?

2. Are you targeting one specific problem, like cold start or checkout recommendation or have a general solution?

3. Are you planning to open-source your model?

4. Do you have any Wordpress/Shopify plugins?

Anyway, I really like your idea and would love to contribute.

Let's stay in touch via twitter: @kidrulit.



These are some great questions!

1. In order for e-stores to trust the results, we tend to use Google Optimize for the A/B-tests (which randomly assigns 50% of users to see the stores' previous recommendations)

2. Currently our main focus are recommendations on the product page - but we do aim to also add our recommendations in other spaces, where the checkout & landing pages are some clear alternatives! Mostly a bandwidth question at this point.

3. We might open-source parts of it sometime in the future, thought it's not something we're currently considering actively.

4. Not yet! We integrate by injecting a JS widget on their site, through which we also track the user behaviour.

Sounds great - let's follow up on Twitter




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