Ads Allocation in Feed via Constrained Optimization [Linkedin] - CrossMinds.ai
Ads Allocation in Feed via Constrained Optimization [Linkedin]
Aug 13, 2020180 views
Jinyun Yan
Abstract:
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.,The paper describes how large-scale recommender system like feed,ranking works, and why it is useful to consider ads allocation as a,post-operation once the ranking of organic items and (separately),the ranking of ads are done. A set of computationally lightweight,algorithms are proposed based on various sets of assumptions in,the context of ads on the LinkedIn newsfeed. Through both offline,simulation and online A/B tests, benefits of the proposed solutions,are demonstrated. The best performing algorithm is currently,fully,deployed,on the LinkedIn newsfeed and is serving all live traffic.

Authors: Jinyun Yan: LinkedIn; Zhiyuan Xu: LinkedIn; Birjodh Tiwana: LinkedIn; Shaunak Chatterjee: LinkedIn

Paper URL: https://dl.acm.org/doi/abs/10.1145/3394486.3403391
SIGKDD_2020
Applied Research
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