Výsledky vyhledávání - "Rochd, El Mehdi"

Dissertation/ Thesis

Modèles probabilistes de consommateurs en ligne : personnalisation et recommandation

Autor: Rochd, El Mehdi

Les systèmes de recherche ont facilité l’accès à l’information disponible sur le web à l’aide de mécanismes de collecte, d’indexation et de stockage de contenus hétérogènes.Ils génèrent des traces résultant de l’activité des in

Externí odkaz: http://www.theses.fr/2015AIXM4086

Zobrazit plný text záznamu

Towards using responsible artificial intelligence in product recommender systems in marketing

Autor: Balagué, Christine, Rochd, El Mehdi

Publikováno v: Proceedings ISMS Marketing Science Conference 2019
41st Annual ISMS Marketing Science Conference
41st Annual ISMS Marketing Science Conference, Jun 2019, Rome, Italy

International audience; Most of product recommender systems in marketing are based on artificial intelligence algorithms using machine learning or deep learning techniques. One of the current challenges for companies is to avoid negative effects of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::038d4b66ddd28449432e06d81f6d04f4
https://hal.science/hal-02332033

Zobrazit plný text záznamu

Towards incorporating ethics in recommendation systems

Autor: Balagué, Christine, Rochd, El Mehdi

Publikováno v: Séminaire Technologies et IA Responsables. Chaire Good In Tech
Séminaire Technologies et IA Responsables. Chaire Good In Tech, Apr 2019, Paris, France

International audience; Most of product recommender systems are based on artificial intelligence algorithms using machine learning or deep learning techniques. One of the current challenges is to avoid negative effects of these product recommender sy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6771bbd09e3865c447704572a27ff256
https://hal.archives-ouvertes.fr/hal-02093828

Zobrazit plný text záznamu

Encoding Local Correspondence in Topic Models

Autor: Rochd El Mehdi, Aznag Mustapha, Quafafou Mohamed

Publikováno v: ICTAI

Exploiting label correlations is a challenging and crucial problem especially in multi-label learning context. Labels correlations are not necessarily shared by all instances and have generally a local definition. This paper introduces LOC-LDA, which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb22f5296b08ee223c7875637859e65f
https://doi.org/10.1109/ictai.2013.95