Researchers have developed a new recommender system called Thresholded Eligibility Control (TEC) designed to optimize exposure for scarce, short-lived opportunities on platforms like Timee, a spot-work platform in Japan. The system aims to prevent concentrated recommendations on popular job templates that don't yield many actual openings, instead reallocating exposure based on posting activity and unfilled demand. Field experiments showed TEC increased job-finding rates from 57.6% to 70.0% and improved matching outcomes. AI
IMPACT This research could lead to more efficient job matching on gig economy platforms by improving how opportunities are recommended.
RANK_REASON The cluster contains a research paper detailing a new recommender system and field experiment.
Read on arXiv cs.IR (Information Retrieval) →
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