<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>org.example</groupId>
<artifactId>movie_recommend</artifactId>
<packaging>pom</packaging>
<version>1.0-SNAPSHOT</version>
<modules>
<module>demo</module>
</modules>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<spark.version>2.4.7</spark.version>
<scala.version>2.11</scala.version>
<hadoop.version>2.9.2</hadoop.version>
<casbah.version>3.1.1</casbah.version>
</properties>
<dependencies>
<dependency>
<groupId>org.jblas</groupId>
<artifactId>jblas</artifactId>
<version>1.2.4</version>
</dependency>
<dependency>
<groupId>org.mongodb.spark</groupId>
<artifactId>mongo-spark-connector_2.11</artifactId>
<version>2.4.2</version>
</dependency>
<dependency>
<groupId>org.mongodb</groupId>
<artifactId>casbah-core_${scala.version}</artifactId>
<version>${casbah.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.version}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>${hadoop.version}</version>
</dependency>
</dependencies>
<!-- <repositories>-->
<!-- <repository>-->
<!-- <id>central</id>-->
<!-- <name>aliyun maven</name>-->
<!-- <url>http://maven.aliyun.com/nexus/content/groups/public/</url>-->
<!-- <layout>default</layout>-->
<!-- <!– 是否开启发布版构件下载 –>-->
<!-- <releases>-->
<!-- <enabled>true</enabled>-->
<!-- </releases>-->
<!-- <!– 是否开启快照版构件下载 –>-->
<!-- <snapshots>-->
<!-- <enabled>false</enabled>-->
<!-- </snapshots>-->
<!-- </repository>-->
<!-- </repositories>-->
</project>
大数据课程的期末项目，基于spark、hadoop hdfs、mongodb，使用scala，进行电影推荐.zip
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大数据课程的期末项目，基于spark、hadoop hdfs、mongodb，使用scala，进行电影推荐.zip （20个子文件） 
bigdata-movie-recommend-master 
pom.xml 3KB src main java constant MongoConstant.scala 617B Config.scala 157B als AlsRecommender.scala 4KB AlsTrainModel.scala 2KB Test.scala 346B model MovieRecommendation.scala 96B UserRecommendation.scala 95B Movie.scala 167B Tag.scala 116B Recommendation.scala 71B MongoConfig.scala 63B GenresRecommendation.scala 119B Rating.scala 127B dataload LoadData.scala 4KB META-INF MANIFEST.MF 8KB statistics Test.scala 397B StatisticsRecommender.scala 5KB content ContentRecommend.scala 3KB movie_recommend.iml 80B资源评论
