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http://dspace.univ-tiaret.dz:80/handle/123456789/5607| Titre: | Towards a deep learning approach for social web services discovery |
| Auteur(s): | LAOUMIR, Mustapha Abdelkader RAHLAOUI, Lahcen |
| Mots-clés: | Web Services, Semantic Web Services, Social Web Services, Deep Learning. |
| Date de publication: | 2022 |
| Editeur: | Université Ibn Khaldoun -Tiaret- |
| Résumé: | When it comes to web services, the most obvious issue is always determining the best approach to allow clients to discover the most relevant services for a possible demand. Several approaches have been proposed in this regard, but the majority of them ignore the interaction history of web services. The purpose of this research is to study a new approach that takes into account and exploits these previous interactions in order to implement a solution from the Ξeld of Deep Learning that allows for a better discovery web services. |
| URI/URL: | http://dspace.univ-tiaret.dz:80/handle/123456789/5607 |
| Collection(s) : | Master |
Fichier(s) constituant ce document :
| Fichier | Description | Taille | Format | |
|---|---|---|---|---|
| TH.M.INF.FR.2022.14.pdf | 7,43 MB | Adobe PDF | Voir/Ouvrir |
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