广告系统位置偏差的CTR模型优化方案( 九 )
[19] Haldar, Malay, et al. "Improving Deep Learning For Airbnb Search." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020.
[20] Guo, Huifeng, et al. "PAL: a position-bias aware learning framework for CTR prediction in live recommender systems." Proceedings of the 13th ACM Conference on Recommender Systems. 2019.
[21] Wang, Xuanhui, et al. "Learning to rank with selection bias in personal search." Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. 2016.
[22] Joachims, Thorsten, Adith Swaminathan, and Tobias Schnabel. "Unbiased learning-to-rank with biased feedback." Proceedings of the Tenth ACM International Conference on Web Search and Data Mining. 2017.
[23] Ai, Qingyao, et al. "Unbiased learning to rank with unbiased propensity estimation." The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. 2018.
[24] Wang, Xuanhui, et al. "Position bias estimation for unbiased learning to rank in personal search." Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining. 2018.
[25] Agarwal, Aman, et al. "Estimating position bias without intrusive interventions." Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. 2019.
[26] Hu, Ziniu, et al. "Unbiased lambdamart: an unbiased pairwise learning-to-rank algorithm." The World Wide Web Conference. 2019.
[27] Ovaisi, Zohreh, et al. "Correcting for selection bias in learning-to-rank systems." Proceedings of The Web Conference 2020. 2020.
[28] Yuan, Bowen, et al. "Unbiased Ad click prediction for position-aware advertising systems." Fourteenth ACM Conference on Recommender Systems. 2020.
[29] Qin, Zhen, et al. "Attribute-based propensity for unbiased learning in recommender systems: Algorithm and case studies." Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. 2020.
【广告系统位置偏差的CTR模型优化方案】[30] Vaswani, Ashish, et al. "Attention is all you need." arXiv preprint arXiv:1706.03762 (2017).
- MIUI|国人最期待安卓系统曝光:MIUI 13增加新功能,强化互联功能
- 免疫系统|新冠最新毒株!比德尔塔还厉害,疫苗还管用吗?
- 互联网广告|市场监管总局:互联网广告不得倒计时结束才能关闭
- 机器|激光粉末床熔合中成分和相图特征对适印性和微观结构的影响:合金系统加工图的开发和比较 (一)
- Windows|New Windows 11操作系统壁纸灵感来源,新的视角,一个新的时代
- 物理学家|实验表明:量子系统中,时间是“不存在”的,因为无法分辨流向
- 双十二|鸿蒙系统2.0正式版又开始推送了,这次包括荣耀8X等9款机型
- 免疫系统|新冠新毒株这次进化出32个突变
- 拉丁美洲|互联网广告大退潮,大厂集体失速
- 太阳系|假如太阳系被放在于更加接近银河系中心的位置,会有什么变化吗?