tangxyw/RecAlgorithm
主流推荐系统Rank算法的实现
This project helps e-commerce and content platforms improve their recommendation systems. It takes user behavior data, like clicks and views, and processes it to train various recommendation algorithms. The output is a highly optimized model that can be deployed to suggest relevant items or content to users, increasing engagement and satisfaction. This is for data scientists or machine learning engineers working on recommendation features for platforms like video apps or online stores.
284 stars. No commits in the last 6 months.
Use this if you need to implement or benchmark various state-of-the-art ranking algorithms for recommendation systems using TensorFlow, with a focus on real-world industrial deployment.
Not ideal if you are looking for a plug-and-play solution that doesn't require familiarity with TensorFlow, or if you need to test algorithms not listed here.
Stars
284
Forks
58
Language
Python
License
BSD-2-Clause
Category
Last pushed
Oct 25, 2023
Commits (30d)
0
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