Alternatives and similar repositories for news-recommendation

Users that are interested in news-recommendation are comparing it to the libraries listed below

• yhao2014 / CkoocNLP
  爬虫与机器学习
  ☆48Updated 8 years ago
• kunguang / SelectFeature
  主要解决ctr预估工程中的特征选择，特征编号(特征离散),单特征auc和logloss这3个问题.
  ☆20Updated 8 years ago
• allwefantasy / spark-deep-learning
  Deep Learning Pipelines for Apache Spark
  ☆58Updated 7 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 8 years ago
• vbay / MusicRecommender
  基于Spark MLlib ALS的音乐推荐系统
  ☆31Updated 9 years ago
• lyg5623 / lightgbm_predict4j
  A java implementation of LightGBM predicting part
  ☆86Updated last year
• yhao2014 / ckoocML
  机器学习项目
  ☆38Updated 8 years ago
• breadada / mieSys
  A minimal display advertising system.
  ☆47Updated 8 years ago
• andyxzq / gbdt_lr_in_recsys
  Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.
  ☆24Updated 8 years ago
• coderSkyChen / 2016CCF_BDCI_Sougou
  【源码以及PPT分享】2016CCF大数据与计算智能大赛：精准营销中搜狗用户画像挖掘
  ☆202Updated 7 years ago
• JasonWiki / recommend
  基于 spark 推荐系统, 基于内容标签 CBCF 实现，协同过滤 UBCF 实现，协同过滤 IBCF 实现
  ☆46Updated 8 years ago
• tophua / spark-machine-learning-book
  Spark机器学习书代码
  ☆25Updated 7 years ago
• wangqingbaidu / aliMusic
  🎼天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。
  ☆153Updated 7 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆87Updated 6 years ago
• smallnest / douban-recommender
  基于Spark ML实现的豆瓣电影推荐系统
  ☆229Updated 7 years ago
• datawlb / code
  code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..
  ☆26Updated 9 years ago
• weiweijiuzaizhe / ctr_pipeline
  通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线
  ☆26Updated 8 years ago
• sunbow1 / SparkMLlibDeepLearn
  SparkMLlibDeepLearn深度学习
  ☆208Updated 10 years ago
• gaterslebenchen / JLibFM
  A Java implementation of libFM(Factorization Machine Library)
  ☆40Updated last year
• LeechanX / Netflix-Recommender-with-Spark
  基于Apache Spark的Netflix电影的离线与实时推荐系统
  ☆250Updated 8 years ago
• wang-haiyang / ppd_model
  ☆51Updated 9 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• X-Brain / News-Recommend-System
  This is for http://115.28.182.124/c/00000000050/team
  ☆99Updated 10 years ago
• onlystar666 / CCF_sougou
  CCF_大数据精准营销中搜狗用户画像挖掘
  ☆17Updated 8 years ago
• wangkobe88 / Earth
  ☆27Updated 7 years ago
• HanXiaoyang / pyspark-recommendation-demo
  movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)
  ☆95Updated 9 years ago
• luhm2017 / graphx-analysis
  graphx知识图谱、图计算相关
  ☆64Updated 7 years ago
• pjpan / PPJUtils
  some usefult utils like change tools and city lon and lat
  ☆59Updated 6 years ago
• msjbear / jdata-spark
  JData算法大赛
  ☆31Updated 8 years ago
• yanshengli / tianchi_bigdata
  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 10 years ago