Public Archive Method
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User-based neighborhood approach - submitted by kidzik 6865 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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mldata api demo - submitted by cong 6003 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
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Item-based neighborhood approach - submitted by kidzik 5795 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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Content-based approach - submitted by kidzik 5587 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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KDDCup'11 track2 by SVDFeature - submitted by crowwork 5425 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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simple-test-method - submitted by demo 4832 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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Nearest-neighbor-for-banana - submitted by demo 4768 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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Recommends via matrix completion - submitted by kidzik 4690 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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demo-banana-nearest-neighbor - submitted by demo 4489 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
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/.