一个亚线性、大规模、相似的受众扩展系统A Sublinear, Massive-scale Look-alike Audience Extension System |
|
课程网址: | https://videolectures.net/videos/kdd2016_ma_extension_system |
主讲教师: | Qiang Ma |
开课单位: | KDD 2016研讨会 |
开课时间: | 2016-10-12 |
课程语种: | 英语 |
中文简介: | 相似受众扩展是在线广告中定制高性能受众的一种切实有效的方法。有了类似的受众扩展系统,任何广告商都可以通过提供现有客户的列表来轻松生成一组定制的受众,而无需知道复杂广告系统中的详细目标属性。本文介绍了我们在Yahoo!广告平台,为数千个广告活动提供长相相似的受众。已经进行了广泛的实验,将我们的相似模型与使用数十亿用户和数百万用户功能的其他三个现有相似系统进行了比较。实验结果表明,我们开发的基于图的最近邻过滤方法在应用安装广告活动的转化率方面比其他方法高出50%以上。 |
课程简介: | Look-alike audience extension is a practically effective way to customize high-performance audience in on-line advertising. With look-alike audience extension system, any advertiser can easily generate a set of customized audience by just providing a list of existing customers without knowing the detailed targetable attributes in a sophisticated advertising system. In this paper, we present our newly developed graph-based look-alike system in Yahoo! advertising platform which provides look-alike audiences for thousands of campaigns. Extensive experiments have been conducted to compare our look-alike model with three other existing look-alike systems using billions of users and millions of user features. The experiment results show that our developed graph-based method with nearest-neighbor filtering outperforms other methods in comparison by more than 50% regarding conversion rate in app-install ad campaigns. |
关 键 词: | 扩展系统; 广告系统; 转化率 |
课程来源: | 视频讲座网 |
数据采集: | 2024-12-30:liyq |
最后编审: | 2024-12-30:liyq |
阅读次数: | 7 |