Comments (2)
评估效果目前我们想到的做法是:
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证实推荐系统的有效性(定性):将推荐系统生成的新闻与其它随机的新闻等数目随机混合在一起,让用户去选择阅读,若用户选择的推荐新闻占比更多,说明推荐系统确实更能捕捉用户的兴趣。
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准确率(定量):推荐了新闻后,看用户会对占比多少的推荐新闻进行阅读,这个占比即为准确率(precision)。
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感觉挺难像别的推荐算法那样评估呢?
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Related Issues (20)
- 系统没法推荐,推荐数为0, topHotNewsList 这个list 不知道干啥用的, HOT 1
- 运行问题 HOT 2
- 无关文件删除 HOT 1
- 系统无法推荐,表里数据没变化 HOT 1
- 新闻抓取问题
- 环境配置 HOT 1
- 数据库配置要3306的端口吗,我的代码导入没错,感觉连接mysql有错 HOT 2
- 我使用的是jdk1.8 在运行时出现类型转换异常java.lang.ClassCastException: java.lang.Long cannot be cast to java.lang.Integer HOT 3
- 推荐数为零 HOT 1
- 启动报错Config already exists: main
- 请问recommendations表中的feedback字段有什么用
- 还在维护嘛 HOT 1
- 怎么获取用户在新闻页面的停留时间? HOT 1
- 我的一些问题
- 导入
- mvn compile问题 HOT 1
- 我的一些问题 HOT 1
- 导入报错
- IDEA将项目用maven导入不能运行
- 在Windows下不能运行
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