61Duke / recommend_system_learning
neteasy music recommend system based on Surprise libaray and word2vec model using gensim library
☆48Updated 6 years ago
Alternatives and similar repositories for recommend_system_learning:
Users that are interested in recommend_system_learning are comparing it to the libraries listed below
- 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
- 推荐系统实践(基于近邻和LFM的推荐系统)☆100Updated 6 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
- 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
- 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
- 阿里移动推荐算法☆126Updated 6 years ago
- 阿里移动推荐算法比赛☆79Updated 8 years ago
- 高效的协同过滤算法实现——推荐系统☆52Updated 2 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
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆46Updated 6 years ago
- 第二届全国大数据比赛-个性化新闻推荐☆69Updated 9 years ago
- 一种song2vec、artist2vec的实践☆49Updated 4 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- algorithms about recommender systems:probabilistic matrix factorization☆25Updated 7 years ago
- Classic recommendation algorithms implementation☆42Updated 3 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆92Updated 5 years ago
- 短视频内容理解与推荐竞赛☆83Updated 4 years ago
- Common Model about DeepCTR(WideDeep,DeepFM, DCN, XdeepFM)☆29Updated 4 months ago
- Top 6 - Code for JData-2018☆81Updated 6 years ago
- 卷积神经网络(CNN)提取影评特征构建电影推荐系统,pytorch实现☆128Updated 7 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- 2017“达观杯”个性化推荐算法挑战赛-rank6☆43Updated 5 years ago
- IJCAI18-阿里妈妈广告转化率预测代码(Rank29)☆96Updated 6 years ago
- 一些经典的个性化推荐算法的实现,从理论推导到实战☆68Updated 4 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆45Updated 4 years ago
- movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)☆95Updated 8 years ago
- YouTube推荐算法☆107Updated 3 years ago
- 推荐系统论文☆23Updated 5 years ago
- 2019年知乎看山杯专家发现算法大赛第六名完整解决方案☆39Updated 5 years ago