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From Pat Ferrel <>
Subject Re: Suggest users based on item
Date Tue, 08 Nov 2016 22:17:26 GMT
The easiest way to do this is substitute the user-id with the item-id and vice versa. Do not
change the names used in the input JSON or in the queries.

Where the input is documented as (user-id, event-type, item-id) just swap the ids, the input
may ask for user: user-id but send item-id instead. 

Where the query is for user=user-id just send an item-id.

This will work for only a single event—the conversion event/primary event. You train a model
to find items preferred by users, and with an item-id in the query you can get “recommended”
users. They will be called items in the json, but ignore that, the JSON is just a label.

On Nov 7, 2016, at 12:52 PM, Magnus Kragelund <> wrote:

I'm using Prediction IO with the Universal Recommender engine template (
to generate personalized and item based item suggesttions, on a web site selling event tickets.
I feed user interactions like pageviews, ticket purchases, rating etc to Prediction IO .

The setup is great for displaying event suggestions to the site visitors, but I'd also like
to be able to have Prediction IO suggest a list of users, that would be most interested in
a given item. With that in hand i would know who to contact, to sell out events that are not
already sold out.

How would I go about getting such suggestions from Prediction IO, using the Universal Recommender
- or any other - engine template?

Best regards
Magnus Kragelund

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