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articles/hdinsight/hadoop/apache-hadoop-mahout-linux-mac.md

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@@ -28,7 +28,7 @@ For more information about the version of Mahout in HDInsight, see [HDInsight ve
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## Understanding recommendations
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One of the functions that is provided by Mahout is a recommendation engine. This engine accepts data in the format of `userID`, `itemId`, and `prefValue` (the preference for the item). Mahout can then perform cooccurrence analysis to determine: *users who have a preference for an item also have a preference for these other items*. Mahout then determines users with like-item preferences, which can be used to make recommendations.
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One of the functions that is provided by Mahout is a recommendation engine. This engine accepts data in the format of `userID`, `itemId`, and `prefValue` (the preference for the item). Mahout can then perform co-occurrence analysis to determine: *users who have a preference for an item also have a preference for these other items*. Mahout then determines users with like-item preferences, which can be used to make recommendations.
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The following workflow is a simplified example that uses movie data:
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Now that you've learned how to use Mahout, discover other ways of working with data on HDInsight:
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* [Apache Hive with HDInsight](hdinsight-use-hive.md)
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* [MapReduce with HDInsight](hdinsight-use-mapreduce.md)
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* [MapReduce with HDInsight](hdinsight-use-mapreduce.md)

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