Hadoop-based Movie Recommendation Engine: A Comparison of the Apriori Algorithm vs. the k-means Method
Download the document to learn how generating association rules differ from clustering data and explore three ways to optimize the quality of movie recommendations.
Why read this?
Key take-aways:
- Get a comparative table of Apriori vs. k-means for a movie recommendation engine
- Discover 3 ways to speed up processing and decrease data size when working with big data
- Find out how to pre-process data for maximum efficiency when using the Apriori and k-means algorithms with the MapReduce paradigm
- Explore 3 ways to improve the quality of search recommendations based on association rules
- Get an overview of 4 most popular data processing algorithms for building association rules
- View 12 diagrams that feature real-life recommendations produced by both Apriori and k-means
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