uitrbn / UserCF-and-ItemCF-ExperimentLinks
☆11Updated 8 years ago
Alternatives and similar repositories for UserCF-and-ItemCF-Experiment
Users that are interested in UserCF-and-ItemCF-Experiment are comparing it to the libraries listed below
Sorting:
- 利用MovieLens数据,Pearson相似度,分别基于User和Item构建一个简单的kNN推荐系统,并给出RMSE评测☆68Updated 6 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- graphx知识图谱、图计算相关☆64Updated 7 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆45Updated 4 years ago
- News recommendation system based on spark.☆49Updated 8 years ago
- 天池-印象盐城-汽车销量预测大赛☆36Updated 7 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- Classic recommendation algorithms implementation☆42Updated 3 years ago
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆104Updated 5 years ago
- 第二届全国大数据比赛-个性化新闻推荐☆69Updated 9 years ago
- Code based in TensorFlow☆50Updated 5 years ago
- implement fm demo with python☆51Updated 6 years ago
- 自己学习推荐系统过程中用到的代码☆50Updated 5 years ago
- 基于某城市移动终端用户的运营商数据预测未来三月内用户是否会终端变迁(用户从当前使用的手机品牌更换为其他手机品牌)。应用xgboost算法和随机森林算法组合成多学习器预测模型。☆52Updated 8 years ago
- 简单的实现推荐系统的召回模型和排序模型,其中召回模型使用协同过滤算法,排序模型使用gbdt+lr算法☆59Updated 6 years ago
- ☆91Updated 7 years ago
- This is for http://115.28.182.124/c/00000000050/team☆99Updated 10 years ago
- 《推荐系统开发实战》代码及勘误☆60Updated 5 years ago
- 滴滴出行供需预测大赛--十强☆44Updated 8 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆131Updated 5 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- Implement item2vec algorithm☆76Updated 6 years ago
- ☆27Updated 7 years ago
- 快手活跃用户预测——lctry队解决方 案☆51Updated 6 years ago
- 天池O2O优惠券使用预测第一赛季部分代码☆41Updated 7 years ago
- 基于注意力机制的群组推荐系统实现☆18Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- 阿里移动推荐算法☆127Updated 6 years ago