foolchi / Recommendation
Recommendation Practice for MovieLens
☆20Updated 10 years ago
Alternatives and similar repositories for Recommendation:
Users that are interested in Recommendation are comparing it to the libraries listed below
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- code for "Convolution Matrix Factorization for Document Context-Aware Reccomendation"☆8Updated 7 years ago
- 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
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- 阿里移动推荐算法比赛☆79Updated 8 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆100Updated 6 years ago
- Classic recommendation algorithms implementation☆42Updated 3 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 6 years ago
- 【腾讯社交广告算法大赛_决赛排名35】以移动app广告为研究对象,根据给定广告、用户和上下文情况信息,预测app广告点击后被激活的概率☆28Updated 7 years ago
- 基于用户行为的推荐算法大赛---第四名(临兵斗列)☆41Updated 8 years ago
- 京东JData算法大赛Rank37☆48Updated 7 years ago
- simple multi-class GBDT☆15Updated 11 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
- algorithms about recommender systems:probabilistic matrix factorization☆25Updated 7 years ago
- 1.解析爬取到的Json歌单数据,并进行数据预处理。 2.基于Surprise推荐系统库,采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法思想进行Song2Vec处理,实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实…☆39Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆92Updated 5 years ago
- 2016 ccf 依据用户轨迹的商户精准营销☆18Updated 8 years ago
- movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)☆95Updated 8 years ago
- 天池比赛,新手离线赛,阿里移动推荐☆37Updated 8 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。☆103Updated 4 years ago
- 阿里2015年天池大数据比赛,采用移动窗口采样加随机森林学习☆136Updated 9 years ago
- 京东JData算法大赛-高潜用户购买意向预测☆86Updated 7 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆45Updated 4 years ago
- neteasy music recommend system based on Surprise libaray and word2vec model using gensim library☆48Updated 6 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆46Updated 6 years ago
- ☆31Updated 6 years ago
- This is for http://115.28.182.124/c/00000000050/team☆100Updated 10 years ago
- Code based in TensorFlow☆50Updated 5 years ago