Algorithm Analysis of Public Service Accessibility
- 10.2991/978-94-6463-024-4_60How to use a DOI?
- Public service; Accessibility; Algorithm analysis; Deep learning
In order to maximize the value of various public service data resources under certain computing resources, it is necessary to develop public service algorithms for various application scenarios of public services, so as to realize intelligent computing and service engine from various public service data to corresponding scenario applications. The public service algorithm center is similar to the algorithm “shelf”, which has the characteristics of modular and plug-in deployment. It can be called by scenario application development in the form of API interface or dynamic library (.Lib). It can not only run on the cloud computing platform, but also be deployed to other business systems. It also can connect existing resources, including basic platforms, business systems, data center or other development tools. Each algorithm module can also be interconnected to form a new integrated algorithm. In the future, combined with the accumulation of large-scale public service algorithms and public service knowledge map resources, based on the deep learning and automatic algorithm generation ability, a new generation of self-generating brain core of multimodal algorithms facing new scene problems can be formed, and at the same time, the limited precise call scheduling of computing quantity and the limited precise borrowing of computing power can be realized.
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Cite this article
TY - CONF AU - Ying Sun PY - 2022 DA - 2022/12/12 TI - Algorithm Analysis of Public Service Accessibility BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 574 EP - 587 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_60 DO - 10.2991/978-94-6463-024-4_60 ID - Sun2022 ER -