This is done with blacklisting. The default config blacklists all items in the training data that the users has taken the primary event on. So if your primary event is “buy” then once a user has bought a particular table they will not be recommended that table again until the “buy” event ages out of the data. If you maintain 1 year of data, then a year after the user bought the particular table they might get a recommendation for it. In other words the blacklist expires with the last event in the input data.
On Sep 13, 2017, at 1:36 PM, Saarthak Chandra <[email protected]> wrote: Hi, Is there a way to add seasonality of products: eg: If I buy a table now, I would not want to recommend tables again for the next year. So how could I include this seasonality into making recommendations? Thanks. -- Saarthak Chandra, Masters in Computer Science, Cornell University. -- You received this message because you are subscribed to the Google Groups "actionml-user" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected] <mailto:[email protected]>. To post to this group, send email to [email protected] <mailto:[email protected]>. To view this discussion on the web visit https://groups.google.com/d/msgid/actionml-user/CAJHqc1p-tX7U5_uCshOAPWNOPY_%2B9w%3DY7zhuXAxGy%3DamsxWwAw%40mail.gmail.com <https://groups.google.com/d/msgid/actionml-user/CAJHqc1p-tX7U5_uCshOAPWNOPY_%2B9w%3DY7zhuXAxGy%3DamsxWwAw%40mail.gmail.com?utm_medium=email&utm_source=footer>. For more options, visit https://groups.google.com/d/optout <https://groups.google.com/d/optout>.
