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Ninoaf

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Dataset for item rating predictions

Created: 2012-01-19 14:56:28 | Last updated: 2012-01-19 14:57:13

Credits: Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This dataset is used in: Pack: Recommender systems workflow templates 2012 http://www.myexperiment.org/packs/238.html for item rating recommendation workflow: http://www.myexperiment.org/workflows/2685.html.

File type: Trident (Package)

Comments: 0 | Viewed: 111 times | Downloaded: 59 times

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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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Ninoaf

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Dataset for item recommendation hybrid-based

Created: 2012-01-19 14:26:56 | Last updated: 2012-06-03 19:49:28

Credits: Ninoaf

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This dataset is used in: Pack: Recommender systems workflow templates 2012 http://www.myexperiment.org/packs/238.html for item recommendation hybrid-based workflow: http://www.myexperiment.org/workflows/2684.html. This is a synthetic dataset produced by work: N. Antulov-Fantulin, M.Bošnjak, T.Šmuc, V. ZlatiÄ‡, M. GrÄar, Artificial clickstream generation algorithm - biased random walk approach, http://arxiv.org/abs/1201.6134

File type: Trident (Package)

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RapidMiner

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Ninoaf

Item recommendation hybrid-based workflow (1)

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This workflow takes input 2 as a train set for recommender systems. We build two item recommendation models: item k-NN (collaborative based) and item attribute k-NN (content based). Item attribute k-NN operator takes additional item attributes from input 3. We combine two models with operator model combiner and test performance on test set (input 1). Train and test set must contain user_id and item_id attributes which need to have special roles user identification and item identification. Th...

Created: 2012-01-19

KNIME

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sauberns

RDKit-bioisosteres (1)

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Implementation of a simple bioisostere replacement workflow using the RDKit (2.0.0) nodes in KNIME (2.5.1). Includes short list of classical bioisostere replacements (not exhaustive), selectable by the functional group to be transformed. We added this control to the workflow as our own internal list of bioisostere replacements generated huge libraries for each structure fed into the workflow. The bioisostere replacement list is stored in a tab separated text file, so can be replaced...