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Blob Item recommendation query datasets

Created: 2012-01-29 17:02:50 | Last updated: 2012-01-30 13:20:16

Credits: User tomS

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is a file containing query datasets for online updates of item recommendation operators.

File type: application/x-zip-compressed

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Blob Digital Multimedia Repositories Ontology (DMRO) and ...

Created: 2012-01-29 16:35:26 | Last updated: 2012-01-29 16:38:25

Credits: User Lawrynka

License: Creative Commons Attribution-Share Alike 3.0 Unported License

For the information on the ontology see: http://www.e-lico.eu/?q=node/288 For the information on the original dataset see:    http://www.ecmlpkdd2011.org/challenge.php     The ontology and KB files are zipped into one file.     

File type: ZIP archive

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Blob Help for using experimentation workflows with recomm...

Created: 2012-01-29 11:59:49 | Last updated: 2012-01-29 17:28:20

Credits: User Matej Mihelčić

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is a help file in how to use experimentation workflows with a recommendation operators.

File type: application/publicationlist

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Blob Data example for experimentation with recommender ex...

Created: 2012-01-29 11:53:41 | Last updated: 2012-01-30 13:19:23

Credits: User tomS

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is a train/test set example used in experimentation. Data in this set consists of three columns, one column for user identification, one for item identification, and one for rating. Every dataset is accompanied with the appropriate aml file. This dataset can be used for rating prediction and item recommendation operator testing. Item recommendation operators will ignore the rating column.

File type: application/x-zip-compressed

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Blob Dataset for item rating predictions

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

Credits: User 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)

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Blob Dataset for item recommendation hybrid-based

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

Credits: User 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. Zlatić, M. Grčar, Artificial clickstream generation algorithm - biased random walk approach, http://arxiv.org/abs/1201.6134

File type: Trident (Package)

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Blob Taverna Tutorial Chip-Seq Downstream analysis

Created: 2012-01-17 13:26:09

Credits: User Katy Wolstencroft

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This file contains a tutorial to introduce the use of Taverna for Next Gen sequence analysis

File type: PowerPoint presentation

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Blob wikipedia articles

Created: 2012-01-17 11:14:36

Credits: User AGeduldig

License: Creative Commons Attribution-Share Alike 3.0 Unported License

wikipedia articles of different topics (car, sport, geography)

File type: application/x-zip-compressed

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Blob Advanced exercises for Next Gen Taverna tutorial

Created: 2012-01-16 16:56:02 | Last updated: 2012-01-17 16:00:23

Credits: User Katy Wolstencroft

License: Creative Commons Attribution-Share Alike 3.0 Unported License

These exercises highlight some of the more advanced features of the Taverna engine, for example, looping, iteration and retries

File type: PowerPoint presentation

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Blob Pattern detection components

Created: 2012-01-16 14:32:01

Credits: User jhermes

License: Creative Commons Attribution-Share Alike 3.0 Unported License

Some of the components of the Pattern Detector experiment that are still work in progress and therefore not a part of the Tesla distribution. Before executing the experiment, you should unzip this file and copy the resulting jar and zip files into the Tesla/libs folder (see http://tesla.spinfo.uni-koeln.de/nightlies/experiment_import.html for details).

File type: ZIP archive

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