Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Julie Séguéla"'
Autor:
Julie Séguéla, Gilbert Saporta
Publikováno v:
CIKM
HAL
CIKM'11, 20th ACM Conference on Information and Knowledge Management
CIKM'11, 20th ACM Conference on Information and Knowledge Management, Oct 2011, Glasgow, United Kingdom. pp.2265-2268
HAL
CIKM'11, 20th ACM Conference on Information and Knowledge Management
CIKM'11, 20th ACM Conference on Information and Knowledge Management, Oct 2011, Glasgow, United Kingdom. pp.2265-2268
In domains such as Marketing, Advertising or even Human Resources (sourcing), decision-makers have to choose the most suitable channels according to their objectives when starting a campaign. In this paper, three recommender systems providing channel
Autor:
Julie Séguéla, Gilbert Saporta
Publikováno v:
HAL
Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science
Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Oct 2011, Beijing, China
Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science
Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science, Oct 2011, Beijing, China
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).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b13a340173a21a1a9b453d53d638cb22
https://hal.archives-ouvertes.fr/hal-01126131
https://hal.archives-ouvertes.fr/hal-01126131
Autor:
Julie Séguéla, Gilbert Saporta
Publikováno v:
HAL
CARME 2011 International conference on Correspondence Analysis and Related Methods
CARME 2011 International conference on Correspondence Analysis and Related Methods, Feb 2011, Rennes, France. pp.20
CARME 2011 International conference on Correspondence Analysis and Related Methods
CARME 2011 International conference on Correspondence Analysis and Related Methods, Feb 2011, Rennes, France. pp.20
Latent Semantic Analysis (LSA) is a technique for analyzing textual data through a singular value decomposition of term-document matrices (Deerwester et al. (1990), Landauer et al. (2007)). The basic postulate is that there is an underlying latent se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c553992ff39190d4082ebbac1006b240
https://hal.archives-ouvertes.fr/hal-01125854
https://hal.archives-ouvertes.fr/hal-01125854
Autor:
Julie Séguéla, Gilbert Saporta
Publikováno v:
HAL
Les modèles pour données de comptage sont des techniques largement étudiées dans la littérature. Nous proposons une application de trois types de modèles poissonniens pour modéliser les candidatures aux offres d'emploi sur le web en deux temps
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5b0ebde5d081e84756a7094c351a542e
https://hal.inria.fr/inria-00494728
https://hal.inria.fr/inria-00494728