User: hadi

Name: hadi

Joined: Thursday 14 November 2019 10:03:00 (UTC)

Last seen: Thursday 14 November 2019 10:05:19 (UTC)

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RapidMiner

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Ninoaf

Item rating predictions collaborative-based (1)

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This workflow takes input 2 as as train set for several item recommendation predictions. We build four different recommendation model which are combined into one model with operator Model Combiner. Then we take input 1 as a test set and apply merged model. Train and test set must contain user_id, item_id and rating attributes which need to have special roles user identification, item identification and label. This workflow uses recommender system extension.

Created: 2012-01-19

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