auxten/go-ctr
Go DeepLearning based Recommendation Framework
This helps e-commerce and content platforms predict what products or content users are most likely to click on or engage with. It takes historical user interaction data and item information as input, then outputs a personalized score for each item, indicating a user's likelihood of interacting with it. E-commerce managers, content strategists, and anyone running a platform with many items and users would find this useful for improving recommendations.
236 stars. No commits in the last 6 months.
Use this if you need to build a deep learning-powered recommendation system quickly and efficiently for your online platform.
Not ideal if your primary goal is real-time, online learning where the model continuously updates with every new user interaction.
Stars
236
Forks
17
Language
Go
License
AGPL-3.0
Category
Last pushed
Dec 14, 2022
Commits (30d)
0
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