研究论文
Ads Allocation in Feed via Constrained Optimization
Jinyun Yan, Zhiyuan Xu, Birjodh Tiwana, Shaunak Chatterjee
LinkedIn (United States)
来源ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)
年份2020
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摘要与影响
摘要 · 完整
Social networks and content publishing platforms have newsfeed applications, which show both organic content to drive engagement, and ads to drive revenue. This paper focuses on the problem of ads allocation in a newsfeed to achieve an optimal balance of revenue and engagement. To the best of our knowledge, we are the first to report practical solutions to this business-critical and popular problem in industry.
逐年被引趋势
950
21
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925
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关键指标
31
被引次数 · OpenAlex
2.75
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 8%
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参考文献
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学术脉络
学科主题
计算机 / AIRecommender Systems and Techniques
Digital Marketing and Social Media · Advanced Bandit Algorithms Research
参考文献 23
Learning to Advertise: How Many Ads Are Enough?
被引 11Bo Wang, Zhaonan Li, Jie Tang · Lecture notes in computer science · 2011
Advanced Topics in Information Retrieval
被引 36Massimo Melucci, Ricardo A. Baeza-Yates · The Kluwer international series on information retrieval · 2011
Constrained Optimization for Homepage Relevance
被引 23Deepak Kumar Agarwal, Shaunak Chatterjee, Yang Yang · International World Wide Web Conference (WWW) · 2015
此处列出前 3 条
引用本文 31
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed
被引 31Guogang Liao, Ze Wang, Xiaoxu Wu · ACM Web Conference (WWW) · 2022
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation
被引 13Guogang Liao, Xiaowen Shi, Ze Wang · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2022
Blending Advertising with Organic Content in E-commerce via Virtual Bids
被引 10Carlos Carrion, Zenan Wang, Harikesh S. Nair · Proceedings of the AAAI Conference on Artificial Intelligence · 2023
按被引量排序，此处列出前 3 条