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[SS11b] A semi-supervised recommender system to predict online job o ffer performance
Conférences Internationales sans actes : Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Beijing, Chine,Mots clés: recommender system, similarity measure, PLS, feature extraction
Résumé:
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).
Equipe:
msdma
BibTeX
| @conference { | |||
| SS11b, | |||
| title | = | "{A semi-supervised recommender system to predict online job o ffer performance}", | |
| author | = | " G. Saporta and J. Séguéla ", | |
| year | = | 2011, | |
| } | |||
