# 基于 Spark Streaming + ALS 的餐饮推荐系统
## 概述
基于大数据的餐饮推荐系统，整体采用Lambda架构，读取餐饮评分数据并通过Spark的MLlib中的ALS建立推荐模型之后进行推荐。
这里是推荐引擎的代码，分为离线推荐和实时推荐。
## 总结说明
[说明地址](https://www.cnblogs.com/share23/articles/9589239.html)
## 系统流程图
## 最终效果
基于SparkStreaming+ALS的餐饮推荐系统源码+数据集+详细文档（高分毕业设计）.zip
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2024-04-17
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基于SparkStreaming+ALS的餐饮推荐系统源码+数据集+详细文档（高分毕业设计）.zip （253个子文件） 
sparktrain.iml 24KB my_scala.iml 535B HBaseUtils.java 3KB LoggerGenerator.java 384B README.md 715B log4j.properties 481B FoodRecommendStreamingApp.scala 6KB CourseClickCountDAO.scala 2KB RatingToHBase.scala 1KB FoodToHBase.scala 1015B UserToHBase.scala 782B DateUtils.scala 626B ClickLog.scala 436B CourseClickCount.scala 306B RatingInfo.scala 148B FoodInfo.scala 131B uiDesigner.xml 9KB pom.xml 6KB Maven__org_scala_lang_scala_library_2_11_8.xml 1KB Maven__org_apache_hadoop_hadoop_mapreduce_client_jobclient_2_6_0_cdh5_7_0.xml 784B Maven__org_apache_hadoop_hadoop_mapreduce_client_shuffle_2_6_0_cdh5_7_0.xml 770B Maven__org_apache_hadoop_hadoop_mapreduce_client_common_2_6_0_cdh5_7_0.xml 763B Maven__org_glassfish_jersey_containers_jersey_container_servlet_core_2_22_2.xml 756B Maven__org_apache_hadoop_hadoop_mapreduce_client_core_2_6_0_cdh5_7_0.xml 749B Maven__org_apache_hadoop_hadoop_mapreduce_client_app_2_6_0_cdh5_7_0.xml 742B 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