SVDFeature Algorithm
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An SVDFeature Algorithm is a personalized item recommendation algorithm that ...
References
2015
- (Wang et al., 2015) ⇒ Hao Wang, Naiyan Wang, and Dit-Yan Yeung. (2015). “Collaborative Deep Learning for Recommender Systems.” In: Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015). ISBN:978-1-4503-3664-2 doi:10.1145/2783258.2783273
- QUOTE: SVDFeature (Chen, Zhang, et al., 2012) is a model for feature-based collaborative filtering. In this paper we use the content information Xc as raw features to feed into SVDFeature.
2012
- (Chen, Zhang, et al., 2012) ⇒ Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, and Yong Yu. (2012). “SVDFeature: A Toolkit for Feature-based Collaborative Filtering.” Journal of Machine Learning Research 13, no . Dec
- ABSTRACT: In this paper we introduce SVDFeature, 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.