Search Results for author: Xiliang Lin

Found 5 papers, 2 papers with code

Adaptive Experimentation with Delayed Binary Feedback

1 code implementation2 Feb 2022 Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan

Experiments show that the proposed method is more efficient for delayed feedback compared to various other approaches and is robust in different settings.

Multi-Armed Bandits valid

Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach

no code implementations28 May 2021 Carlos Carrion, Zenan Wang, Harikesh Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan

In e-commerce platforms, sponsored and non-sponsored content are jointly displayed to users and both may interactively influence their engagement behavior.

Marketing

Comparison Lift: Bandit-based Experimentation System for Online Advertising

no code implementations16 Sep 2020 Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan

Second, by adapting experimental design to information acquired during the test, it reduces substantially the cost of experimentation to the advertiser.

Experimental Design

Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments

no code implementations4 Jul 2019 Tong Geng, Xiliang Lin, Harikesh S. Nair

The product is currently deployed on the advertising platform of JD. com, an eCommerce company and a publisher of digital ads in China.

Parallel Experimentation and Competitive Interference on Online Advertising Platforms

1 code implementation27 Mar 2019 Caio Waisman, Navdeep S. Sahni, Harikesh S. Nair, Xiliang Lin

This paper studies the measurement of advertising effects on online platforms when parallel experimentation occurs, that is, when multiple advertisers experiment concurrently.

Decision Making Experimental Design

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