HyRec: leveraging browsers for scalable recommenders

By Antoine Boutet, Davide Frey, Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra. 2014

39 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Marc Tommasi
2. François Taïani
3. Paul Vanhaesebrouck
4. Aurélien Bellet
5. Anne-Marie Kermarrec
6. Peter Druschel

In Information Systems

1. Aurélien Bellet
2. Marc Tommasi
3. Anne-Marie Kermarrec
4. François Taïani

In Sociology and Political Science

1. Marc Tommasi
2. Aurélien Bellet
3. Anne-Marie Kermarrec

Citations in the corpus

• Decentralized Collaborative Learning of Personalized Models over Networks (2016, background): “As a motivating example, consider a decentralized recommender system (Boutet et al., 2013, 2014) in which each user rates a small number of movies on a smartphone application and expects personalized recommendations of new movies.”
• Want to scale in centralized systems? Think P2P (2015, methodology): “In a recommendation system, each user might be responsible for processing her/his own data, while this data is stored on a centralized infrastructure, as in the Hyrec recommender system [54].”