GavinHacker/recsys_core
[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).
This project helps e-commerce managers, content publishers, or entertainment platforms build a personalized movie recommendation system. It takes user ratings and movie information as input, then outputs tailored movie suggestions for each user. It's ideal for anyone looking to provide an engaging, customized experience to their users.
299 stars. No commits in the last 6 months.
Use this if you need to implement or understand a movie recommendation system that learns from user behavior and dynamically updates its suggestions.
Not ideal if you're looking for a simple, plug-and-play solution without any custom development or if your content isn't item-based like movies.
Stars
299
Forks
80
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 30, 2021
Commits (30d)
0
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