Research and Implementation of Digital Intelligence Evaluation System Based on AB Evaluation
In the wave of digitalization, AB testing is a tool to evaluate the iterative effect of products and technologies, promoting continuous innovation of products and technologies, so that each adjustment can more accurately hit user needs. Currently, AB testing has been widely used in major Internet companies. Based on this, in order to realize the evaluation of the application effect of first-level tool functions before and after being launched, this paper studies the application effect of construction functions based on tool usage link analysis, AB evaluation rule management and real-time analysis of evaluation data. By building system architectural capabilities such as front-end AB test SDK and back-end AB test interfaces, AB evaluation scenarios for agent front-end pages and backend services are supported.
Authors
- Haoran Han (ORCID: https://orcid.org/0000-0001-6263-1797)
- Yingsheng Zhang (ORCID: https://orcid.org/0000-0003-2520-3923)
- Shuang Li (ORCID: https://orcid.org/0000-0002-4512-0431)
- Yong Wang (ORCID: https://orcid.org/0000-0001-7670-3958)
- Bei Zhang (ORCID: https://orcid.org/0000-0002-4599-581X)
- Shaojie Wang (ORCID: https://orcid.org/0000-0001-8278-3894)
- Hua-Lin Huang
- Mengmeng Hu (ORCID: https://orcid.org/0009-0005-9918-267X)
Institutions
- China Mobile (China) (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iciba62489.2024.10868670
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00