snowch/movie-recommender-demo

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

语言：Jupyter Notebook · GitHub 星标：100 · Fork：56

话题：alternating-least-squares · biginsights · bluemix · bokeh · cloudant · collaborative-filtering · dsx · hadoop

在 GitHub 上查看原仓库