CodeKen 2012 / (Big) Data Science use cases at

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At we service internal and product big data use cases, using a combination of Hadoop, Java MapReduce, Pig, and machine learning algorithms. In this talk, we will discuss two use cases – an product use case and an internal use case. - Community based recommendations: In Chatter, our most successful people and file recommendations are built on a collaborative filtering algorithm that is implemented on Hadoop using Java MapReduce. - Feature Metrics: Internally, we measure feature usage using a combination of Hadoop, Pig and the platform (Custom Objects and Analytics)


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Narayan Bharadwaj (narayanbharadwaj)


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