Kutay Acar

Simple, Fresh, and Fair: Revisiting Linear Collaborative Filtering for Large-Scale Job Recommendation

Job-board recommendation is shaped by two pressures that are rarely studied together: which model family wins under a single controlled protocol, and how quickly recommendation quality decays as the job catalog churns. We study both on a large real-world job-application log (about 40.4 million applications, August to N...