标签：dso exe eth learning stat eem imp UI examples
Tutorials for Recommender Systems:
1.Implementing your own recommender systems in python
2.Beginners‘ guide to Non-negative Matrix Factorization
3.Alternating Least Square Method for Collabrative Filtering
4.An introductory Recommender System Tutorial
5.A gentle introduction to recommender systems with implicit feedback
6.An inplicit feedback recommender for the movielens dataset
7.Recommending Movies at scale(Python)
Websites of datasets:
3.Kaggle Dataset(seems something is wrong with it....)
Some Materials on Github about Tensor Flow
3.These tutorials are intended for beginners in Deep Learning and TensorFlow
Things about WARP theory:
2.https://stats.stackexchange.com/questions/141634/implementing-warp-loss-gradient-computation/189811
3.warp-loss-for-implicit-feedback-recommendation
Some thing about data splitting:
To Be Added...
Links of All in Twente（Updatesd Aug,7th）
标签：dso exe eth learning stat eem imp UI examples
原文地址：http://www.cnblogs.com/fassy/p/7132297.html
