Here, at Caboom we are committed to helping you learn, develop and deploy personalized recommendation systems. Every recommender system begins with the right data, which is often not readily available for someone starting their journey in the field.
There are a number of publicly available datasets available these days. However, a lot of our users have said that it is difficult to find the dataset that matches their domains. More people struggle when it comes to figuring out how to build a recommender system to prove its feasibility. So, to make things simpler, we have curated the right datasets for you to get started on your recommendation systems.

We have categorized the datasets according to different domains so that you can find the one that matches your use-case the best. This will not only be a great way to find the right datasets, but we will also be adding comprehensive exploratory analysis and implementation of recommender algorithms in the future.
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Start with your data or a sample for instant results right away.
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