User: tomS

Name: tomS

Joined: Monday 10 May 2010 15:42:53 (UTC)

Last seen: Saturday 20 October 2012 15:03:12 (UTC)

Email (public): smuc [at] irb.hr

Website: Not specified

Location: Zagreb, Croatia

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tomS has been credited 5 times

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Interests:

ML, DM, Bionformatics, Computational biology

Field/Industry: Research CS

Occupation/Role(s): Not specified

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RBI

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Matej MihelÄiÄ‡

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MovieLens data for hybrid recommenders

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

Credits: 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)

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Matej MihelÄiÄ‡

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Item recommendation query datasets

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

Credits: 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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Matej MihelÄiÄ‡

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Rating prediction query datasets

Created: 2012-01-29 17:05:46 | Last updated: 2012-01-29 17:07:49

Credits: tomS

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This is a file containing query sets for online updates of rating prediction operators.

File type: application/x-zip-compressed

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Matej MihelÄiÄ‡

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Data example for experimentation with recommender ex...

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

Credits: 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.

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RapidMiner

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Matej MihelÄiÄ‡

Experimentation through repository access (1)

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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: Matej MihelÄiÄ‡ Matko BoÅ¡njak tomS

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Linked Data

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