Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/3536#discussion_r21078944
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/recommendation/MatrixFactorizationModel.scala
---
@@ -95,6 +95,35 @@ class MatrixFactorizationModel(
}
/**
+ * Recommends similar products
+ *
+ * @param user the user to find similar users for
+ * @param num how many products to return. The number returned may be
less than this.
+ * @return [[Rating]] objects, each of which contains the given user ID,
a user ID, and a
+ * "score" in the rating field. Each represents one recommended user,
and they are sorted
+ * by score, decreasing. The first returned is the one predicted to be
most similar
+ * user to the specified user ID. The score is an opaque value that
indicates how strongly
+ * recommended the user is.
+ */
+ def recommendSimilariUsers(user: Int, num: Int): Array[Rating] =
--- End diff --
Typo: `Similari`, also below.
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