Work

Automatic generation of personalized applications based on social media

Year: 2020

Type: conference-paper

Abstract: In this work, we present a contextual personalization method based on users’ interests and social neighborhoods. It is implemented by proposing an approach to automatically generate personalized interactive applications based on social media platforms. The shared contents, designed by documents, are used to extract users’ contexts and profiles. Thus, extensive functionality is needed to exploit these information and develop social applications adapted to end-users interests. An automated model-driven engineering approach, using Domain-Specific Language, is proposed for the generation of what we call personalized document-based applications by exploiting the interaction power of online social media.

Source: Procedia Computer Science

DOI: 10.1016/j.procs.2020.03.149

Authors: Nadia Chouchani, Mourad Abed

Institutions: Railenium, Centre National de la Recherche Scientifique, Laboratoire d'Automatique, de Mécanique et d'Informatique Industrielles et Humaines

Language: English

Topic: Web Applications and Data Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Agence Nationale de la Recherche

Award: RAILENIUM