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https://issues.apache.org/jira/browse/SPARK-4823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14243207#comment-14243207
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Debasish Das commented on SPARK-4823:
-------------------------------------
Even for matrix factorization userFactors are user x rank...with modest ranks
of 50..and users at 10M, I don't think it is possible to transpose the matrix
and run column similarities...doing it on the fly complexity wise is still
O(n*n) right...
> rowSimilarities
> ---------------
>
> Key: SPARK-4823
> URL: https://issues.apache.org/jira/browse/SPARK-4823
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Reza Zadeh
>
> RowMatrix has a columnSimilarities method to find cosine similarities between
> columns.
> A rowSimilarities method would be useful to find similarities between rows.
> This is JIRA is to investigate which algorithms are suitable for such a
> method, better than brute-forcing it. Note that when there are many rows (>
> 10^6), it is unlikely that brute-force will be feasible, since the output
> will be of order 10^12.
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