0


大规模计算广告

Computational Advertising at Scale
课程网址: http://videolectures.net/kdd2018_rajan_computational_advertising/  
主讲教师: Suju Rajan
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2018-09-24
课程语种: 英语
中文简介:
关于计算广告的机器学习文献通常倾向于关注简单的CTR预测问题,尽管这是相关的,但就该领域的挑战而言,这只是冰山一角。人们对实时投标系统的运行规模(每天200亿次投标请求)或日益敌对的生态系统也几乎没有评价,所有这些都在可行的解决方案方面增加了大量的限制。在这次演讲中,我将重点介绍最近在开发模型方面所做的一些努力,这些模型试图更好地封装广告从第一次展示到用户再到实际购买的过程。
课程简介: Machine learning literature on Computational Advertising typically tends to focus on the simplistic CTR prediction problem which while being relevant is the tip of the iceberg in terms of the challenges in the field. There is also very little appreciation for the scale at which the real-time-bidding systems operate (200B bid requests/day) or the increasingly adversarial ecosystem all of which add a ton of constraints in terms of feasible solutions. In this talk, I’ll highlight some recent efforts in developing models that try to better encapsulate the journey of an ad from the first display to a user to the effect on an actual purchase.
关 键 词: 大规模计算广告; 机器学习文献; CTR预测问题; 可行的解决方案
课程来源: 视频讲座网
数据采集: 2023-03-16:cyh
最后编审: 2024-01-19:liyy
阅读次数: 19