Abstract
The present disclosure describes systems and methods for generating optimized content for the internet. According to aspects of the present disclosure, a computing system can obtain content data and/or metric data. The computing system can generate article data representing one or more article forms based at least in part on content data, and determine network traffic allocation data for the one or more article forms. The computing system can monitor one or more objectives associated with each article form of an article to optimize content for the article, and/or select a winning article form for the article. Keywords associated with the present disclosure include: computing systems; content creation; content optimization; content layout; machine-learned model; split-testing; optimization objectives.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
N/A, "Optimization of Optimal Article Content for the Internet for Article A/B Testing", Technical Disclosure Commons, (November 16, 2018)
https://www.tdcommons.org/dpubs_series/1657