Publications

  • LIP6:

    • Guardia Sebaoun E., Rafrafi A., Guigue V., Gallinari P., "Cross-Media sentiment Classification and Application to Box-Office Forecasting", OAIR, 2013.
    • Mickael Poussevin, Elie Guàrdia Sebaoun, Vincent Guigue, Patrick Gallinari. Recommandation par combinaison de filtrage collaboratif et d'analyse de sentiments. CORIA 2014, Mar 2014, Nancy, France. pp. 27-42.
    • Elie Guàrdia Sebaoun, Vincent Guigue et Patrick Gallinari. Recommandation Dynamique dans les Graphes Géographiques. MARAMI 2014.
    • Elie Guàrdia Sebaoun, Vincent Guigue et Patrick Gallinari. Latent Trajectory Modeling: A Light and Efficient Way to Introduce Time in Recommender Systems. ACM RecSys 2015.

 


  • L2TI:

    • Françoise Fogelman-Soulié et Emmanuel Viennet. L’analyse des réseaux sociaux. A paraître. 1024, Bulletin de la Société Informatique de France.
    • Ivan Keller and Emmanuel Viennet. Recommender systems for museums: Evaluation on a real dataset. In Fifth International Conference on Advances in Information Mining and Management, July 2015.
    • Patricia Conde-Céspedes, Jean-François Marcotorchino, and Emmanuel Viennet. Comparing linear modularization criteria using the relational notation. In 15e Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances (EGC'15), Luxembourg, January 2015.
    • Mamadou Diaby and Emmanuel Viennet. Job recommandations on social networks using a multilayer vector model. In Workshop on Heterogeneous Information Access at WSDM 2015 (HIA'15), Shanghai, February 2015. 
    • Emmanuel Malherbe, Mamadou Diaby, Mario Cataldi, Emmanuel Viennet, and Marie-Aude Aufaure. Field selection for job categorization and recommendation to social network users. In IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'14), pages 588-595, August 2014.
    • Emmanuel Viennet. Dynamic of Communities in Social Networks. In 2nd International Society of NonParametric Statistics Conference (ISNPS'14), Cadiz, España, June 2014.
    • Mamadou Diaby and Emmanuel Viennet. Taxonomy-based recommender systems in Facebook and LinkedIn. InProceedings of the Eighth IEEE International Conference on Research Challenges in Information Science (RCIS), pages 237-244. IEEE, May 2014.
    • Raphaël Fournier, Emmanuel Viennet, Savanery Sean, Françoise Soulié-Fogelman, and Marc Bénaïche. Ammico: social recommendations for museums. In Proceedings of Digital Intelligence (DI2014), Nantes, France, 2014. 
    • Blaise Ngonmang, Emmanuel Viennet, and Maurice Tchuente. Predicting users behaviours in distributed social networks using community analysis. Lecture Notes in Social Networks, pages 119-138, 2014.
    • Réalisation logicielle : Social Recommender Framework, logiciel libre, https://bitbucket.org/danielbernardes/socialfiltering

 


  • SIGMA:

    • Robust indoor localization and tracking using GSM fingerprints
      Ye Tian, Bruce Denby, Iness Ahriz, Pierre Roussel, Gerard Dreyfus
      EURASIP Journal on Wireless Communications and Networking, 2015