tinylcy / RecommendationEngine
Source code and dataset for paper "CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis"
☆44Updated 6 years ago
Related projects: ⓘ
- 基于Spark ML实现的豆瓣电影推荐系统☆225Updated 6 years ago
- Alibaba 2015 mobile recommending algorithm competition.☆139Updated 6 years ago
- ☆127Updated this week
- 基于Apache Spark的Netflix电影的离线与实时推荐系统☆247Updated 7 years ago
- News recommendation system based on spark.☆47Updated 7 years ago
- Learning to write Spark examples☆44Updated last year
- A movie recommendation system given by user data, movie data and social data...☆78Updated 10 years ago
- spark mllib example☆28Updated 8 years ago
- ☆58Updated this week
- 数据挖掘，参加Kaggle的一个预测广告点击率的竞赛☆28Updated 8 years ago
- Item-Based Collaborative Filtering Spark Job (use cosin similarity)☆36Updated 8 years ago
- librec application to movies recommender system☆60Updated 6 years ago
- ☆150Updated 10 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☆134Updated 9 years ago
- Code Lib☆102Updated 10 years ago
- FPtree algorithm to mining frequent pattern☆22Updated 11 years ago
- SparkMLlibDeepLearn深度学习☆208Updated 9 years ago
- 🎼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。☆154Updated 6 years ago
- ☆142Updated 8 years ago
- 数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践☆81Updated 7 years ago
- This is for http://115.28.182.124/c/00000000050/team☆100Updated 9 years ago
- web analysis and visualization for PPD Magic Mirror Contest☆44Updated 7 years ago
- Build a News Recommendation Engine Using Apache Mahout and the Google News Personalization Paper☆23Updated 11 years ago
- 基于豆瓣电影数☆28Updated 4 years ago
- Spark 编程指南简体中文版☆33Updated 8 years ago
- Academic Search Engine using Scrapy, MongoDB, Lucene/Solr, Tika, Struts2, Jquery, Bootstrap, D3, CAS☆98Updated 11 years ago
- ☆27Updated this week
- Item and User-based KNN recommendation algorithms using PySpark☆126Updated 6 years ago
- 《Storm Blueprints: Patterns for Distributed Real-time Computation 》一书的源码和翻译☆60Updated 9 years ago
- An implementation of the multi-class/multi-label classifier, of which the training is carried out using AdaBoost.MH on Apache Spark.☆107Updated 9 years ago