Closed haoawesome closed 9 years ago
好的,能不能假设你已经有数据集了(例如IMDB),那能不能讲讲想解决哪一类问题? 这里举几个例子
https://www.cs.utexas.edu/~shmat/shmat_oak08netflix.pdf Robust De-anonymization of Large Sparse Datasets Arvind Narayanan and Vitaly Shmatikov
http://arxiv.org/pdf/1301.2303.pdf Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments (UAI2001)
http://www.cs.cmu.edu/~ggordon/CMU-ML-08-109.pdf Relational Learning via Collective Matrix Factorization Ajit P. Singh Geoffrey J. Gordon
https://datajobs.com/data-science-repo/Recommender-Systems-%5BNetflix%5D.pdf MATRIX FACTORIZATION TECHNIQUES FOR RECOMMENDER SYSTEMS
https://github.com/ksenish/svd-predict-movie-ratings Movie Recommendation Engine based on Singular Value Decomposition
至于降维,当然可以尝试PCA, 也有人用SVD https://github.com/ksenish/svd-predict-movie-ratings 。
私信