rosetta-ai/rosetta_recsys2019
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
This solution helps e-commerce businesses provide personalized product recommendations to their customers. It takes historical customer interaction data (like purchases and clicks) and outputs a list of recommended items for each user. An e-commerce manager or data scientist responsible for improving customer engagement and sales through personalization would use this.
No commits in the last 6 months.
Use this if you need a high-performing recommendation system trained on a real-world e-commerce dataset that predicts which items users are likely to interact with.
Not ideal if you are looking for a plug-and-play API or a tool that doesn't require technical expertise to set up and run.
Stars
58
Forks
16
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 18, 2019
Commits (30d)
0
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