View Sweets recommender system (public)
2011-09-27 11:18 by kidzik | Version 3 | Rating 
Rating
- Summary
Ratings prediction basing on other users' votes.
- License
- CC-BY-SA 3.0
- Tags
- collaborative-filtering Prediction recommender Regression sweetrs sweets
- Input format
[user] [product] [rating]
- Output format
[rating]
- Performance Measure
- Mean Absolute Error
- Type
- Regression
- Data
- Ratings of sweets (sweetrs)
- Download
- HDF5 (28.2 KB) XML Matlab Octave
Completeness of this item currently: 100%.
- Input Variables
- 0:2
- Output Variables
- 2
- Datasplits
| Nr | Splitimage |
|---|---|
| 0 |
| Nr | Train Indices | Validation Indices | Test Indices |
|---|---|---|---|
| 0 | 0:8, 9, 11:15, 16:19, 21, 25:27, 28:31, 32:39, 40:42, ... | 8, 10, 15, 19:21, 22:25, 27, 31, 39, 42, ... |
We use python style indices
- Description
Prediction of ratings. Collaborative-filtering.
- URLs
- http://sweetrs.org/
- Publications
- revision 1
- by kidzik on 2011-09-13 15:32
- revision 2
- by kidzik on 2011-09-13 15:32
- revision 3
- by kidzik on 2011-09-27 11:18
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Methods associated to task Sweets recommender system
| Submitter | Method (version) | Curve | Score | Date |
|---|---|---|---|---|
| demo | simple-test-method (3) | - | 1.34301675978 predictions | 2011-09-29 10:28 |
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.