classification template

[YOUSSEF ASSATA]

hello everyone please can you suggest me a classification template or a tuto based on items and their probabilities

thanks cordially 

[Pat Ferrel]

We support the Universal Recommender here. See the PredictionIO mailing list for further support (CCed)

On Apr 12, 2017, at 7:16 AM, YOUSSEF ASSATA <assata...@gmail.com> wrote:

hello everyone please can you suggest me a classification template or a tuto based on items and their probabilities

thanks cordially 

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[Pat Ferrel]

The UR can recommend anything you have usage data for. Meaning anything you can tie to a user.

To recommend topics, you would need to somehow record a user’s preference for topics (user-id, topic-pref, topic-id) then record other user preference indicators as secondary events, name these events in the engine.json in the correct order with topic-pref first like this “eventNames”: [“topic-pref”, “read”, …]  Now when you ask for a user’s recs you send a user-id, or for similar topics, send “item”: “topic-id” in the query but you always get back topics if “topic-pref” is the first event name.

Notice that to recommend a “read” you would create a model with the “read” indicator first, if we want to recommend anything, it should be first.

The UR actually represents a landscape of algorithms that can use all user usage data to recommend different things based on how you configure it.

On Apr 12, 2017, at 8:55 AM, YOUSSEF ASSATA <assata...@gmail.com> wrote:

i think yo didn't get my question  : i'm looking for a template that make recommandation based on a database with topics and their probability => so i can make a topic in a specific categorie 

thank

ᐧ

2017-04-12 16:35 GMT+01:00 Pat Ferrel <p...@occamsmachete.com>:

We support the Universal Recommender here. See the PredictionIO mailing list for further support (CCed)

On Apr 12, 2017, at 7:16 AM, YOUSSEF ASSATA <assata...@gmail.com> wrote:

hello everyone please can you suggest me a classification template or a tuto based on items and their probabilities

thanks cordially 

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