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A semi-supervised recommender system to predict online job offer performance

Abstract : In this work, we are presenting a recommender system predicting the ranking of job boards (job search web sites) in terms of job posting performance (or return).
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https://hal.archives-ouvertes.fr/hal-01126131
Contributor : Laboratoire Cedric <>
Submitted on : Sunday, March 22, 2020 - 4:57:34 PM
Last modification on : Thursday, December 31, 2020 - 12:21:51 PM

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  • HAL Id : hal-01126131, version 1

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Julie Séguéla, Gilbert Saporta. A semi-supervised recommender system to predict online job offer performance. Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Oct 2011, Beijing, China. ⟨hal-01126131⟩

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