人力招聘会应聘人员停留时间统计数据

通过摄像头和自主研发的AI模型算法，采集应聘人员在广场招聘市场各个区域的停留时间与总停留时间，经过加工处理后得到各个区域的停留时间与总停留时间的占比，来评价人才招聘市场的招聘情况，并用于指导本单位在下月的宣传活云和生产宣传手册等行为。1数据采集: 通过摄像头和自主研发的A模型算法，采集应聘人员在广场人才招聘市场各个区域的停留时间，并把每天的三个时间段内的停留时间进行汇总整理。2数提处理: 汇总后得到总停留时间Y，按照区域分类，算出人才招聘市场区域的停留日间X，再算出每个区域的停留时间X与总停留时间Y，得到每个区域的停留时间占比情况。3 数据应用: 根据第二步得到的占比数据，可用来评价人才招聘市场的招聘情况，并用工指导本单位在下月的宣传活动和生产宣传手册等行为。

This dataset collects the dwell time and total dwell time of job applicants in each area of the square talent recruitment market via cameras and self-developed AI model algorithms. After post-processing, the proportion of each area's dwell time relative to the total dwell time is calculated, which is used to evaluate the recruitment situation of the talent recruitment market and guide the organization's subsequent publicity activities, promotional brochure production and other related behaviors in the next month.

1. Data Collection: Collect the dwell time of job applicants in each area of the square talent recruitment market via cameras and self-developed AI model algorithms, and aggregate the dwell time across three daily time periods.
2. Data Processing: Obtain the total dwell time Y after aggregation; classify by area to calculate the dwell time X of each talent recruitment market area, then calculate the proportion of each area's dwell time X relative to the total dwell time Y.
3. Data Application: The proportion data obtained in the second step can be used to evaluate the recruitment situation of the talent recruitment market, and guide the organization's publicity activities, promotional brochure production and other related behaviors in the next month.