Project details for SVDFeature, A Toolkit for Informative Collaborative Filtering

Logo SVDFeature, A Toolkit for Informative Collaborative Filtering 1.2.2

by crowwork - January 9, 2013, 02:21:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

SVDFeature is a machine learning toolkit for feature-based collaborative filtering. SVDFeature is designed to efficiently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchical information. The toolkit is capable of both rate prediction and collaborative ranking, and is carefully designed for efficient training on large-scale data set. Using this toolkit, we built solutions to win KDD Cup for two consecutive years.

Changes to previous version:

JMLR MLOSS version.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux, Windows, Unix
Data Formats: Ascii
Tags: Ranking, Feature Based Collaborative Filtering
Archive: download here

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