项目作者： RaffayHusayn

项目描述：

  Content-Based Filtering based on Cosine Similarity developed using Scikit-Learn and NLTK. The model is trained on MovieLens Dataset. The model uses Natural Language Processing to make better predictions.

高级语言： Python

项目主页：

项目地址: git://github.com/RaffayHusayn/Content-Based-Filtering.git

创建时间： 2020-08-19T00:02:24Z
项目社区：https://github.com/RaffayHusayn/Content-Based-Filtering
开源协议：
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Deployment to GCP

If you are interested in the deployment of the model to Google Cloud Platform’s App Engine using Standard Environment, my Content-Based Filtering Deployment Repo will be more useful.