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KNN movie recommender system, zscore predictor, parameter test

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The movie recommender system is developed by Java based on the MovieLens 100k data set.
The whole system contains a front-end user interface and back-end recommend models.
3 recommendation algorithms are used: popularity based recommendation, item based recommendation and user-based recommendation.

The source code is included in the jar file


How to run the recommender system:
1. Place the jar file under any direction
2. Use java.exe to run the jar file or open cmd.exe under such direction and input the instruction below:
java -jar ECT584.jar

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KNN movie recommender system, zscore predictor, parameter test

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