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Build project:
sbt assembly -
Run backend:
spark-submit --master "local[*]" target/scala-2.11/als-spark.jar -
Query examples:
GET localhost:8080/user/random GET localhost:8080/item/random -
Run frontend (for mac users):
docker run -p 8888:8888 jupyter/pyspark-notebook-
Then copy link from console output into browser and import ui.ipynb
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Execute all notebook commands.
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Please be patient - it is downloading movie images from the internet - so can take a while.
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Normal/movie-recommender
Folders and files
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