Mamadou Diaby

My PhD thesis

The goal of this PhD thesis is the development of systems based on artificial intelligence and data science techniques to recommend jobs to social network users and to predict the popularity of job ads posted on social networks. We are focused on Facebook, LinkedIn and Twitter. My PhD advisor and I have publised several papers, references of which are below.

Publications

[1] Mamadou Diaby and Emmanuel Viennet. Quantifying the hidden factors impacting the audience of job advertisements posted on facebook. In 15th Industrial Conference on Data Mining ICDM 2015, 2015. [ bib ]

[2] Mamadou Diaby and Emmanuel Viennet. Job recommendations on social networks using a multilayer vector model. In Workshop on Heterogeneous Information Access at WSDM 2015 (HIA'15), Shanghai, February 2015. [ bib ]

[3] Daniel Bernardes, Mamadou Diaby, Raphaë l Fournier, Françoise Fogelman Soulié, and Emmanuel Viennet. A social formalism & survey for recommender systems. 16(2), December 2014. [ bib ]

[4] Emmanuel Malherbe, Mamadou Diaby, Mario Cataldi, Emmanuel Viennet, and Marie-Aude Aufaure. Field selection for job categorization and recommendation to social network users. In IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'14), page to appear, August 2014. [ bib ]

[5] Mamadou Diaby and Emmanuel Viennet. Taxonomy-based job recommender systems in facebook and linkedin. In Proceedings of the 2014 IEEE Eighth International Conference on Research Challenges in Information Science RCIS 2014, pages 237-244. IEEE, may 2014. [ bib ]

[6] Mamadou Diaby, Emmanuel Viennet, and Tristan Launay. Exploring different methods to improve job recommender systems in social networks. Social Network Analysis and Mining, page to appear, 2014. [ bib ]

[7] Mamadou Diaby and Emmanuel Viennet. Developpement d'une application de recommandation d'offres d’emploi aux utilisateurs de facebook et linkedin. In Atelier Fouille de Données Complexes de la 14e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'14), Rennes, jan 2014. [ bib ]

[8] Mamadou Diaby, Emmanuel Viennet, and Tristan Launay. Toward the next generation of recruitment tools: An online social network-based job recommender system. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM 2013, pages 821-828, Aug 2013. [ bib ]

My PhD thesis

Publications

Contact

Laboratoire de Traitement et Transport de l'Information Université Paris 13

Office: E202

Phone: +33 6 13 70 70 37

Email:firstname.lastname@univ-paris13.fr

Latest Update

February 2015

[1]	Mamadou Diaby and Emmanuel Viennet. Quantifying the hidden factors impacting the audience of job advertisements posted on facebook. In 15th Industrial Conference on Data Mining ICDM 2015, 2015. [ bib ]
[2]	Mamadou Diaby and Emmanuel Viennet. Job recommendations on social networks using a multilayer vector model. In Workshop on Heterogeneous Information Access at WSDM 2015 (HIA'15), Shanghai, February 2015. [ bib ]
[3]	Daniel Bernardes, Mamadou Diaby, Raphaë l Fournier, Françoise Fogelman Soulié, and Emmanuel Viennet. A social formalism & survey for recommender systems. 16(2), December 2014. [ bib ]
[4]	Emmanuel Malherbe, Mamadou Diaby, Mario Cataldi, Emmanuel Viennet, and Marie-Aude Aufaure. Field selection for job categorization and recommendation to social network users. In IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'14), page to appear, August 2014. [ bib ]
[5]	Mamadou Diaby and Emmanuel Viennet. Taxonomy-based job recommender systems in facebook and linkedin. In Proceedings of the 2014 IEEE Eighth International Conference on Research Challenges in Information Science RCIS 2014, pages 237-244. IEEE, may 2014. [ bib ]
[6]	Mamadou Diaby, Emmanuel Viennet, and Tristan Launay. Exploring different methods to improve job recommender systems in social networks. Social Network Analysis and Mining, page to appear, 2014. [ bib ]
[7]	Mamadou Diaby and Emmanuel Viennet. Developpement d'une application de recommandation d'offres d’emploi aux utilisateurs de facebook et linkedin. In Atelier Fouille de Données Complexes de la 14e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'14), Rennes, jan 2014. [ bib ]
[8]	Mamadou Diaby, Emmanuel Viennet, and Tristan Launay. Toward the next generation of recruitment tools: An online social network-based job recommender system. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ASONAM 2013, pages 821-828, Aug 2013. [ bib ]