A movie recommender system with MapReduce.
- Developed a movie recommender system using Item Collaborative Filtering Algorithm to predict movies that users may be interested in based on how much they liked or disliked other movies
- Built rating matrix and co-occurrence matrix based on users’ rating history from Netfilx Prize Dataset
- Implemented matrix multiplication in MapReduce to get the recommendation list
- Built data pipelines of multiple MapReduce jobs to join, clean and aggregate enormous amounts of data