Content from the e-LICO Recommender Systems group

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Pack e-LICO recommender workflows

Created: 2011-03-15 15:33:48 | Last updated: 2012-01-28 19:39:06

This pack contains recommender system workflows created for the purpose of e-LICO project.

6 items in this pack

Comments: 0 | Viewed: 266 times | Downloaded: 147 times



Pack Recommender systems workflow templates 2012

Created: 2012-01-08 12:27:43 | Last updated: 2012-06-03 19:48:22

 The Recommender Extension can be downloaded from the Rapid-I Marketplace from: . More details can be found:          

12 items in this pack

Comments: 0 | Viewed: 446 times | Downloaded: 136 times


Workflow Hybrid recommendation system (1)

This is one hybrid recommendation system combining linear regression recommender, created using RapidMiner core operators, and Recommender extension multiple collaborative filtering and attribute based operators.

Created: 2012-05-17

Credits: User Matej Mihelčić User Matko Bošnjak

Blob MovieLens data for hybrid recommenders

Created: 2012-05-17 11:04:57 | Last updated: 2012-05-17 11:06:10

Credits: User tomS

License: Creative Commons Attribution-Share Alike 3.0 Unported License

 This is MovieLens data set containing user,item, ratings and item attributes enabling hybrid recommendation system testing. 

File type: Trident (Package)

Comments: 0 | Viewed: 149 times | Downloaded: 136 times


Pack Hybrid recommender RapidMiner and extension operators

Created: 2012-05-17 10:57:03 | Last updated: 2012-05-17 11:13:51

 This pack contains workflow and data for hybrid recommender that is created by combining Recommender extension and RapidMiner built in operators. 

2 items in this pack

Comments: 0 | Viewed: 112 times | Downloaded: 75 times


Workflow Parameter optimization (1)

This is a parameter optimization workflow for rating prediction recommendation operators.

Created: 2012-02-10 | Last updated: 2012-02-10

Credits: User Matej Mihelčić

Workflow Experimentation through repository access (1)

This workflow reads train/test dataset from a specified RapidMiner repository and tests selected operator on that datasets. Only datasets specified with a proper regular expression are considered. Train and test data filenames must correspond e.g (train1, test1). Informations about training and testing data, performanse measures of a selected operator are stored as an Excel file. Note: Train/test file names should not be contained in the repository path. E.g training/train is not a god path,...

Created: 2012-01-31 | Last updated: 2012-02-01

Credits: User Matej Mihelčić User Matko Bošnjak User tomS


Workflow Transforming user/item description dataset... (1)

This workflow provides transformation of an user/item description attribute set, into a format required by attribute based k-NN operators of the Recommender extension. See: to learn about formats of datasets required by Recommender extension.

Created: 2012-01-30

Workflow Data iteration workflow (RP) (1)

This is a data iteration workflow used to iterate throug query update sets.

Created: 2012-01-29

Credits: User Matej Mihelčić User Matko Bošnjak

Workflow Model update workflow (RP) (1)

This is a Model update workflow called from data iteration workflow on every given query set. In the Loop operator model and current training set are retrieved from the repository. Model update is performed on a given query set creating new model. Model and updated train set are saved in the repository.

Created: 2012-01-29 | Last updated: 2012-01-30

Credits: User Matej Mihelčić

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