推荐算法个人学习笔记以及代码实战
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Updated
Aug 8, 2019 - Python
推荐算法个人学习笔记以及代码实战
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
Farfetch: Understanding the customer
Implicit Event Based Recommendation Engine for Ecommerce
An Analogous experiment to Netflix Challenege on Amazon DataSet for three popular and efficient approaches
Collaborative Filtering based movie recommendation that uses matrix factorization to generate rating predictions for user-movie,
This is a learning repository about Databricks and Recommendation Systems
Pytorch recommendation system of possible known technologies for a people with specified tech stack. Utilizing hyperopt for hyper parameter tuning to find the best performing model.
A generalizable collaborative filtering approach for recommending new procedures to patients and their caregivers.
Movie recommendation system using surprise machine learning and modular python code.
Study of the Diversification of Recommender Systems
MovieLens recommended system project
AI油画分析引擎
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