A BERT model fed a single text paragraph of job features forecasts job application counts with lower MAE than baselines on CareerBuilder data, though the evaluation lacks temporal splits and error bars.
Tripartite vector representations for better job recommendation,
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Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs
A BERT model fed a single text paragraph of job features forecasts job application counts with lower MAE than baselines on CareerBuilder data, though the evaluation lacks temporal splits and error bars.