项目说明
电影智能推荐系统采用典型的MVC架构。项目使用Java 语言作为后端编程语言,使用MYSQL作为数据库;智能推荐算法采用协同过滤算法,提供的推荐功能包括:视频推荐、好友推荐、圈子推荐等。此项目践行了前后端完全分离的原则,项目后端只提供RESTFUL接口,项目的前端使用Vue2开发,前端项目地址为:https://github.com/firery/mirs-web-vue 。项目前后端仅仅通过接口进行交互,后端接口地址为:https://www.91film.top/api/swagger/index.html
项目配置
1. 定位到src/main/resources/properties/文件夹下
2. jdbc-example.properties –> jdbc-prod.properties 根据提示配置
3. mail-example.properties –> mail-prod.properties 根据提示配置
开发环境
软/硬件
版本
Window
10
IntelliJ IDEA
2016.2.2
Tomcat
9.0.0.M3
Oracle JDK
1.8.0_72-b15
Maven
3.3.9
MySQL
8.0.0
Redis
3.2.100
部署环境
软/硬件
版本
Centos(1核1g)
7.2
Tomcat
9.0.0.M13
Nginx
1.10.2
Oracle JDK
1.8.0_91-b14
Maven
3.3.9
MySQL
8.0.0
Redis
2.8.19-2
Docker-engine
1.12.3-1
Nginx配置
user nginx;
worker_processes 1;
error_log /var/log/nginx/error.log warn;
pid /var/run/nginx.pid;
events {
use epoll;
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
log_format main ‘$remote_addr – $remote_user [$time_local] “$request” ‘
‘$status $body_bytes_sent “$http_referer” ‘
‘”$http_user_agent” “$http_x_forwarded_for”‘;
access_log /var/log/nginx/access.log main;
sendfile on;
#tcp_nopush on;
keepalive_timeout 65;
#gzip on;
include /etc/nginx/conf.d/*.conf;
upstream mirs {
server 127.0.0.1:8080;
}
server {
listen 80;
server_name 91film.top;
return 301 https://www.$host$request_uri;
}
server {
listen 80;
server_name www.91film.top;
return 301 https://$host$request_uri;
}
limit_req_zone $binary_remote_addr zone=one:10m rate=1r/s;
server {
listen 443;
server_name www.91film.top;
access_log /var/log/nginx/mirs_access.log;
ssl on;
ssl_certificate /usr/local/sslkey/213936820630408.pem;
ssl_certificate_key /usr/local/sslkey/213936820630408.key;
ssl_session_timeout 5m;
ssl_protocols TLSv1 TLSv1.1 TLSv1.2;
ssl_ciphers AESGCM:ALL:!DH:!EXPORT:!RC4:+HIGH:!MEDIUM:!LOW:!aNULL:!eNULL;
ssl_prefer_server_ciphers on;
location / {
limit_req zone=one burst=10 nodelay;
root /home/mirs;
try_files $uri $uri/ /index.html;
}
location /api {
proxy_pass http://mirs;
proxy_read_timeout 300;
proxy_connect_timeout 300;
proxy_redirect off;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_set_header Host $http_host;
proxy_set_header X-Real-IP $remote_addr;
}
}
}
Tomcat配置
…
…
项目依赖
groupId
artifactId
version
说明
junit
junit
4.12
单元测试依赖
org.slf4j
slf4j-api
1.7.21
日志依赖
ch.qos.logback
logback-core
1.1.7
日志依赖
ch.qos.logback
logback-classic
1.1.7
日志依赖
mysql
mysql-connector-java
6.0.3
数据库连接依赖
c3p0
c3p0
0.9.1.2
数据库连接池依赖
org.mybatis
mybatis
3.4.1
DAO框架:Mybatis依赖
org.mybatis
mybatis-spring
1.3.0
Mybatis自身实现的Spring整合依赖
com.alibaba
fastjson
1.2.18
JSON处理依赖
org.springframework
spring-core
4.3.2.RELEASE
Spring 核心依赖
org.springframework
spring-beans
4.3.2.RELEASE
Spring 核心依赖
org.springframework
spring-context
4.3.2.RELEASE
Spring 核心依赖
org.springframework
spring-context-support
4.3.2.RELEASE
Spring 核心依赖
org.springframework
spring-jdbc
4.3.2.RELEASE
Spring DAO 依赖
org.springframework
spring-tx
4.3.2.RELEASE
Spring DAO 依赖
org.springframework
spring-web
4.3.2.RELEASE
Sping Web 依赖
org.springframework
spring-webmvc
4.3.2.RELEASE
Sping Web 依赖
org.springframework
spring-websocket
4.3.2.RELEASE
Sping Websocket 依赖
org.springframework
spring-messaging
4.3.2.RELEASE
Sping Websocket 依赖
org.springframework
spring-test
4.3.2.RELEASE
Spring Test 依赖
org.scribe
scribe
1.3.7
OAuth认证依赖
com.mangofactory
swagger-springmvc
1.0.2
Swagger 自动生成接口文档依赖
com.fasterxml.jackson.core
jackson-core
2.8.2
数据绑定依赖
com.fasterxml.jackson.core
jackson-databind
2.8.2
数据绑定依赖
com.fasterxml.jackson.core
jackson-annotations
2.8.2
数据绑定依赖
com.github.penggle
kaptcha
2.3.2
生成验证码依赖
org.apache.shiro
shiro-core
1.3.2
权限管理依赖
org.apache.shiro
shiro-web
1.3.2
权限管理依赖
org.apache.shiro
shiro-ehcache
1.3.2
权限管理依赖
org.apache.shiro
shiro-spring
1.3.2
权限管理依赖
net.sf.ehcache
ehcache
2.10.3
缓存依赖
org.apache.lucene
lucene-core
6.2.1
搜索引擎依赖
org.apache.lucene
lucene-queryparser
6.2.1
搜索引擎依赖
org.lionsoul
jcseg-analyzer
2.0.0
中文分词依赖
org.apache.mahout
mahout-core
0.9
推荐系统依赖
org.apache.mahout
mahout-math
0.12.2
推荐系统依赖
com.thetransactioncompany
cors-filter
2.5
跨域请求过滤依赖
javax.mail
1.4.7
发送邮件依赖
今天的文章java智能推荐系统技术_GitHub – newfishwang/mirs: 电影智能推荐系统JAVA实现[通俗易懂]分享到此就结束了,感谢您的阅读。
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