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Automatic generation of personalized applications based on social media
<span title="">2020</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cx3f4s3qmfe6bg4qvuy2cxezyu" style="color: black;">Procedia Computer Science</a>
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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
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.procs.2020.03.149">doi:10.1016/j.procs.2020.03.149</a>
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... riven 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. 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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