Research

Interests

  • Data Models and Query Languages
  • OLAP, Data Warehousing, Multidimentional Databases
  • Knowledge Discovery in databases, Data Mining
  • Log mining
  • Recommender systems and cold-start problems
  • Personalization
  • Social Networks
  • Information systems (Quality and Formalisation)
  • Early warning systems
  • Smart cities

Defended PhD:

  • 2021: Siying LI, Recommender systems and systems of systems
  • 2020: Zahra FERDOUSI, Context-aware recommender systems (CIFRE)
  • 2019: Maude ARRU, Early Warning Systems
  • 2017: Linda ATIF, Decision Aid and HR-IS (CIFRE)
  • 2016: Ning WANG, Recommender systems and semantic traces (Université de Technologie de Compiègne)

Current PhD:

  • Jinfeng ZHONG, Genericity and explainability for recommender systems (2020-)
  • Qing TANG, Recommender systems and semantic (2019-)

Contracts:

  • ANR SIOMRI CARE (2021-)
  • Similarity bertween vehicles (2013-2014)
  • Similarity between texts for mobile applications (2013-2014)
  • Economic barometer (2015-2016)

Tutorials / Keynotes:

  • Keynote speaker: French-Brazilian School on Big Data and Smart Cities (2017), ADOC (GDR MADICS) 2016, Journée TOTAL 2016, KMIKS 2015, Journée de l'ARC6 2014, KMIKS 2013
  • Tutorial speaker: HICSS 2017, HICSS 2014