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Use this command to determine how many times field1 and field2 values occur together.

This command implements one step in a collaborative filtering analysis for making recommendations. Given a user field (field1) and an item field (field2), it finds how common each pair of items is. That is, it computes sum(A has X and A has Y) where X and Y are distinct items and A is each distinct user.


cofilter <field1> <field2>

Required arguments

Syntax: <field>
Description: The name of field.
Syntax: <field>
Description: The name of a field.


The cofilter command is a transforming command. See Command types.


Example 1:

Find the cofilter for user and item. The user field must be specified first and followed by the item field. The output is event for each pair of items with: the first item and its popularity, the second item and its popularity, and the popularity of that pair of items.

... | cofilter user item

See also

associate, correlate


Have questions? Visit Splunk Answers and see what questions and answers the Splunk community has about using the cofilter command.


This documentation applies to the following versions of Splunk Cloud: 7.0.8, 7.0.11, 7.0.13, 7.1.3, 7.1.6, 7.2.3, 7.2.4, 7.2.6, 7.2.7, 7.2.8, 7.2.9, 8.0.0, 8.0.1, 8.0.2001


I stand by my earlier unaddressed comment. Others are confused, too:
Try this run-anywhere; it does NOTHING:
| makeresults
| eval user="a b c a b c a b c a b c a b c a b c a b c a b c"
| makemv user
| mvexpand user
| streamstats count AS item
| eval item = item % 5
| multireport
[ cofilter user item
| eval DATASET="cofilter" ]
[ stats dc(item) BY user
| eval DATASET="itemBYuser" ]
[ stats dc(user) BY item
| eval DATASET="userBYitem" ]

November 29, 2017

Based on the docs for both commands, I believe that `contingency` should be in the `see also` section. I am not sure because I cannot get `cofilter` to work in some test. Perhaps the `cofilter` command doesn't work or is deprecated?

April 8, 2017

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