Zilong Hou's repositories
6036datagroup
预测招商银行股票涨跌幅度
MovieLens-Recommender
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
DeepCirCode
R package for deep learning of the back-splicing code for circular RNA formation
recommanded_system
This is a source code of a new algorithm by myself. The algorithm is a collaborative filtering recommendation algorithm based on ALS that combines the "time forgetting curve" and "item type characteristics". The result showed that the accuracy of this algorithm is greatly improved. The experimental data are 100,000 records of movielens users' movie-watching feedback.本算法是结合“时间遗忘曲线”和“物品类型特征”的基于ALS的协同过滤推荐算法，算法基于前人的基础上进行了改革，实现算法优化. 该算法相较于原始的ALS推荐算法准确率有大幅度的提升。实验数据为movielens曾给出的用户观影反馈的十万条记录。
RecommendSystemPractice
《推荐系统实践》代码实现
Recommendation-System
《推荐系统实践》学习笔记
dimotif
Alignment-free Protein Motif Miner
EDeN_examples
IPython notebooks describing the use of the EDeN framework