Discovering internal social relationship for influence-aware service recommendation

Existing approaches, such as semantic content-based or Collaborative Filtering-based recommendations, fail to exploit social aspects of services because services lack social relationships and do not consider social influence. In this paper, we propose a methodology for connecting distributed service...

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Veröffentlicht in:	Multimedia tools and applications 2017-09, Vol.76 (18), p.18193-18220
Hauptverfasser:	Chen, Wuhui, Paik, Incheon, Yen, Neil Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaboration Computer Communication Networks Computer Science Data Structures and Information Theory Filtration Internet service providers Multimedia Information Systems Quality of service Recommender systems Semantics Social factors Social networks Special Purpose and Application-Based Systems
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