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Automatic generation of personalized applications based on social media

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.
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https://hal-uphf.archives-ouvertes.fr/hal-03690724
Contributor : Mylène Delrue Connect in order to contact the contributor
Submitted on : Wednesday, June 8, 2022 - 3:16:14 PM
Last modification on : Wednesday, June 15, 2022 - 3:12:35 AM
Long-term archiving on: : Friday, September 9, 2022 - 7:24:13 PM

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Nadia Chouchani, Mourad Abed. Automatic generation of personalized applications based on social media. 11th International Conference on Ambient Systems, Networks and Technologies, ANT 2020 / 3rd International Conference on Emerging Data and Industry 4.0, EDI40 2020 / Affiliated Workshops, Apr 2020, Warsaw, Poland. pp.825 - 830, ⟨10.1016/j.procs.2020.03.149⟩. ⟨hal-03690724⟩

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