Raphaël M Jungers
Biographic Data
| ID | 4163799 |
|---|---|
| NAME | Raphaël M Jungers |
| GIVEN NAMES | Raphaël M |
| FAMILY NAME | Jungers |
| SIGNATURE | JUNGERS R M |
| AFFILIATIONS | Fund for Scientific Research |
| ORCID | 0000-0002-7789-0940 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Algorithmes de recommandation et culture technique
Pour répondre à la démultiplication de contenus médiatiques accessibles en ligne, de nombreuses plateformes ont aujourd’hui recours à des algorithmes de recommandation pour structurer et hiérarchiser les flux d’information. Ces dispositifs sont critiqués pour l’importance qu’ils accordent à la satisfaction immédiate de l’utilisateur, menaçant la diversité d’opinion accessible au sein d’espaces médiatiques de plus en plus personnalisés. En croisan…
Data-driven traffic and diffusion modeling in peer-to-peer networks
Peer-to-peer systems have driven a lot of attention in the past decade as they have become a major source of Internet traffic. The amount of data flowing through the peer-to-peer network is huge and hence challenging both to comprehend and to control. In this work, we take advantage of a new and rich dataset recording the peer-to-peer activity at a remarkable scale to address these difficult problems. After extracting the relevant and measurable …
No prominent works on this page.
Data-driven traffic and diffusion modeling in peer-to-peer networks
Peer-to-peer systems have driven a lot of attention in the past decade as they have become a major source of Internet traffic. The amount of data flowing through the peer-to-peer network is huge and hence challenging both to comprehend and to control. In this work, we take advantage of a new and rich dataset recording the peer-to-peer activity at a remarkable scale to address these difficult problems. After extracting the relevant and measurable …
Algorithmes de recommandation et culture technique
Pour répondre à la démultiplication de contenus médiatiques accessibles en ligne, de nombreuses plateformes ont aujourd’hui recours à des algorithmes de recommandation pour structurer et hiérarchiser les flux d’information. Ces dispositifs sont critiqués pour l’importance qu’ils accordent à la satisfaction immédiate de l’utilisateur, menaçant la diversité d’opinion accessible au sein d’espaces médiatiques de plus en plus personnalisés. En croisan…
Caching and Content Delivery (1 work) · Complex Network Analysis Techniques (1 work) · Computer Science (1 work) · Cultural Insights and Digital Impacts (1 work) · Data mining (1 work) · Distributed computing (1 work) · Education, sociology, and vocational training (1 work) · Humanities (1 work) · Peer-to-peer (1 work) · Peer-to-Peer Network Technologies (1 work)