Public Archive Method
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KDDCup'11 track2 by SVDFeature - submitted by crowwork 5420 views, 0 downloads, 0 comments
last edited by crowwork - Nov 2, 2011, 09:54 CET Rating
- Summary:
We describe our experiment on KDDCup'11 track2 dataset using SVDFeature, getting state-of-art single model peformance
- License: CC-BY-SA 3.0
- Tags: collaborative-filtering collaborative-ranking kddcup2011 SVDFeature
- Results: 0 results
- Summary:
We describe our experiment on KDDCup'11 track2 dataset using SVDFeature, getting state-of-art single model peformance
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Recommends via matrix completion - submitted by kidzik 4687 views, 0 downloads, 0 comments
last edited by kidzik - Sep 13, 2011, 20:16 CET Rating
- Summary:
More mathematical approach to recommendation problem. No additional data about items and users is needed - just incomplete matrix.
- License: CC-BY-SA 3.0
- Tags: collaborative-filtering low-rank matrices matrix-completion recommendation
- Results: 0 results
- Summary:
More mathematical approach to recommendation problem. No additional data about items and users is needed - just incomplete matrix.
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Item-based neighborhood approach - submitted by kidzik 5790 views, 0 downloads, 0 comments
last edited by kidzik - Sep 13, 2011, 20:09 CET Rating
- Summary:
Method for collaborative-filtering tasks. We base the rating of item for user by checking ratings of users with similar tastes
- License: CC-BY-SA 3.0
- Tags: collaborative-filtering item-based neighborhood recommender systems
- Results: 0 results
- Summary:
Method for collaborative-filtering tasks. We base the rating of item for user by checking ratings of users with similar tastes
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User-based neighborhood approach - submitted by kidzik 6861 views, 0 downloads, 0 comments
last edited by kidzik - Sep 13, 2011, 20:08 CET Rating
- Summary:
Method for collaborative-filtering tasks. We base the rating of item for user by checking ratings of users with similar tastes
- License: CC-BY-SA 3.0
- Tags: collaborative-filtering neighborhood recommender systems user-based
- Results: 0 results
- Summary:
Method for collaborative-filtering tasks. We base the rating of item for user by checking ratings of users with similar tastes
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Content-based approach - submitted by kidzik 5580 views, 0 downloads, 0 comments
last edited by kidzik - Sep 13, 2011, 20:07 CET Rating
- Summary:
Content-based for recommendation tasks. Needs additional data about items however is independent of other users.
- License: CC-BY-SA 3.0
- Tags: content-based recommender system
- Results: 0 results
- Summary:
Content-based for recommendation tasks. Needs additional data about items however is independent of other users.
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Nearest-neighbor-for-banana - submitted by demo 4765 views, 0 downloads, 0 comments
last edited by demo - Dec 3, 2010, 19:12 CET Rating
- Summary:
Nearest neighbor classifier for the banana task
- License: CC-BY-SA 3.0
- Results: 1 results
- Summary:
Nearest neighbor classifier for the banana task
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simple-test-method - submitted by demo 4827 views, 0 downloads, 0 comments
last edited by demo - Dec 2, 2010, 21:16 CET Rating
- Summary:
(No information yet)
- License: CC-BY-SA 3.0
- Results: 1 results
- Summary:
(No information yet)
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demo-banana-nearest-neighbor - submitted by demo 4486 views, 0 downloads, 0 comments
last edited by demo - Dec 2, 2010, 12:55 CET Rating
- Summary:
demo nearest neighbor classifier
- License: CC-BY-SA 3.0
- Tags: banana demo NN
- Results: 1 results
- Summary:
demo nearest neighbor classifier
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mldata api demo - submitted by cong 6000 views, 0 downloads, 0 comments
last edited by cong - Nov 30, 2010, 14:19 CET Rating
- Summary:
Example of how to use data and task
- License: CC-BY-SA 3.0
- Tags: api demo
- Results: 6 results
- Summary:
Example of how to use data and task
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/.