Investigating the Learning Effect in Job Search: A Longitudinal Study

  • Jiaxin Mao
  • Damiano Spina
  • Sargol Sadeghi
  • Falk Scholer
  • Mark Sanderson
Proceedings of CIKM'19, 2019

We investigated the learning process in search by conducting a log-based study involving registered job seekers of a commercial job search engine. The analysis shows that job search is a complex task: seekers usually submit multiple queries over sessions that can last days or even weeks. We find that querying, clicking, and job application rates change over time: job seekers tend to use more filters and a less diverse set of query terms. In terms of click and application behavior, we observed a significant decrease in click rate and query term diversity, as well as an increase in application rates. These trends are found to largely match information seeking models of learning in a complex search task. However, common behaviors are observed in the logs that suggest the existing models may not be sufficient to describe all of the users' learning and seeking processes.

author={Mao, Jiaxin and Spina, Damiano and Sadeghi,Sargol and Scholer, Falk and Sanderson, Mark},
title={Investigating the Learning Effect in Job Search: A Longitudinal Study}, 
booktitle={Proceedings of CIKM'19},
Damiano Spina