A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
A Low-Cost High-Performance Semantic and Physical Distance Calculation Method Based on ZIP Code
2022
IEICE transactions on information and systems
Recently, machine learning approaches and user movement history analysis on mobile devices have attracted much attention. Generally, we need to apply text data into the word embedding tool for acquiring word vectors as the preprocessing of machine learning approaches. However, it is difficult for mobile devices to afford the huge cost of highdimensional vector calculation. Thus, a low-cost user behavior and user movement history analysis approach should be considered. To address this issue,
doi:10.1587/transinf.2021dap0005
fatcat:ptujwrsiwvguxdkjc4pjp3dpbi