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).
Publié le : 2011-10-27
Classification:
recommender system,
similarity measure,
PLS,
feature extraction,
extraction de caractéristiques,
mesure de similarité,
système de recommandation,
[INFO]Computer Science [cs],
[MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]
@article{hal-01126131,
author = {Saporta, Gilbert and S\'egu\'ela, Julie},
title = {A semi-supervised recommender system to predict online job o ffer performance},
journal = {HAL},
volume = {2011},
number = {0},
year = {2011},
language = {en},
url = {http://dml.mathdoc.fr/item/hal-01126131}
}
Saporta, Gilbert; Séguéla, Julie. A semi-supervised recommender system to predict online job o ffer performance. HAL, Tome 2011 (2011) no. 0, . http://gdmltest.u-ga.fr/item/hal-01126131/