Section: Bilateral Contracts and Grants with Industry

Bilateral Grants with Industry

Cifre SAP (2011-2014)

Participants : Thomas Ricatte, Marc Tommasi, Rémi Gilleron [correspondent] .

In business intelligence information systems, one of the first tasks is to acquire and clean internal data and then enrich them with additional sources of informations. This preprocessing step is well planned and specialized for fixed analysis and fixed dashboards. The subject of our collaboration with SAP was included in general objective that (i) specializes this preprocessing task in order to deal with external data coming from networked data like social networks and open relational data, and (ii) simplifies the adaptation of the processing step evolving data analysis tasks. We have focused on the task of merging information acquired from many input data sources represented as graphs, with the final objective of providing a unique graph representation of all data or data models. This research has lead to new graph combination algorithms, but has also raised the need for representing and managing high order relations using graph-like techniques.

Rémi Gilleron supervises the PhD thesis (Cifre) of Thomas Ricatte together with Yannick Cras from SAP.

Cifre Clic and Walk (2013-2016)

Participants : Pauline Wauquier, Marc Tommasi, Mikaela Keller [correspondent] .

We start a one to one cooperation with the Clic and Walk company that makes marketing surveys by consumers (called clicwalkers). The goal of the company is to understand the community of clicwalkers (40 thousands in one year) and its evolution with two objectives: the first one is to optimize the attribution of surveys to clicwalkers, and the second is to expand company's market to foreign countries. Social data can be obtained from social networks (G+, Facebook, ...) but there is no explicit network to describe the clicwalkers community. But users activity in answering surveys as well as server logs can provide traces of information diffusion, geolocalisation data, temporal data, sponsorship, ...We will study the problem of adaptive graph construction from the clicwalkers network. Node (users) classification and clustering algorithms will be applied. For the problem of survey recommendations, the problem of teams constitution in a bipartite graphs of users and surveys will be studied. Random graph modeling and generative models of random graphs will be one step towards the prediction of the evolution of clicwalkers community.

Mikaela Keller and Marc Tommasi supervise the PhD thesis (Cifre) of Pauline Wauquier on graph-based recommendation together with Guillaume André from Clic and Walk .