Florestan De Moor
Email: florestan.de-moor 
irisa.fr
Address: IRISA/Inria Rennes–Bretagne Atlantique
Equipe WIDE, Bureau E317
Campus Universitaire de Beaulieu
35042 Rennes Cedex, FRANCE
Research
I am interested in recommendation systems, not only from an algorithmic standpoint but also from a system perspective: my goal is to consider the whole workflow of the process, from data representation and data storage to model training and recommendations generation.
In this PhD thesis, we focus on real-time systems such as news recommenders and micro-blogging platforms which face tremendous dynamics. Thus, they must be able to quickly adapt to new trends and to incorporate the latest information in order to best satisfy their users.
Teaching
- Programmation Dirigée par la Syntaxe (PDS) : Travaux Pratiques (M1 SIF), ISTIC, 2019
- Génie Logiciel (GEN) : Travaux Pratiques (L2), ISTIC, 2020
Publications from previous internships
- Joseph Vinish D’silva, Florestan De Moor, Bettina Kemme: Making an RDBMS Data Scientist Friendly: Advanced In-database Interactive Analytics with Visualization Support. PVLDB 12(12): 1930-1933 (2019)
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Joseph Vinish D’silva, Florestan De Moor, Bettina Kemme: Keep Your Host Language Object and Also Query it: A Case for SQL Query Support in RDBMS for Host Language Objects. SSDBM 2019: 133-144 - Joseph Vinish D’silva, Florestan De Moor, Bettina Kemme: AIDA – Abstraction for Advanced In-Database Analytics. PVLDB 11(11): 1400-1413 (2018)
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Antoine Boutet, Florestan De Moor, Davide Frey, Rachid Guerraoui, Anne-Marie Kermarrec, Antoine Rault: Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter! DSN 2018: 466-477 (source code)
