document: Predicting click through rate for job listings Click Through Rate ( CTR ) is an important metric for ad systems , job portals , recommendation systems . CTR impacts publisher 's revenue , advertiser 's bid amounts in `` pay for performance '' business models . We learn regression models using features of the job , optional click history of job , features of `` related '' jobs . We show that our models predict CTR much better than predicting avg . CTR for all job listings , even in absence of the click history for the job listing .
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