Wall-content selection in social media: a revelance feedback scheme based on explicit crowdsourcing
Authors: Ntalianis, Klimis 
Tsapatsoulis, Nicolas 
Issue Date: 4-May-2017
Conference: 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 15-18 December 2016, Chengdu, China 
Book: Proceedings of the 2016 IEEE International Conference on Internet of Things and IEEE Green Computing and Communications and IEEE Cyber, Physical, and Social Computing and IEEE Smart Data, iThings-GreenCom-CPSCom-Smart Data 2016 
Keywords: Activity log, Crowdsourcing, Multimedia item, Relevance Feedback (RF), Social computing, Social media
Abstract: 
This paper proposes an innovative relevance feedback algorithm for wall-content selection in social media. The procedure results in an iterative loop, which recursively updates a weighted distance. The distance is then used for finding multimedia items that are relevant to a user's preferences. To do so, the activity log of the user under investigation is considered and his/her attention at previo...
ISBN: 978-1-5090-5880-8
DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.122
URI: https://uniwacris.uniwa.gr/handle/3000/2848
Type: Conference Paper
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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