T-SWEETS: An Alternative to the Stimulus Collaboration from Trust Inference in Social Networks

E. M. Silva, D. O. Rodrigues, J. G. Souza, A. Salgado, S. Meira
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引用次数: 1

Abstract

This paper presents a novel method to infer trustiness in social networks entitled T-SWEETS. It is also presents its application at Konnen, a knowledge management platform on social networks based. The features explored in T-SWEETS come from research done on related works from the literature and from an experiment development with a group of 34 people. T-SWEETS have been main purpose to act as an incentive to collaboration in social networks and, therefore, naturally increase the frequency of knowledge dissemination among the users. Thus, it provides background to others automated systems (e.g. recommender systems) and, therefore, the knowledge produced by these users can be explored more efficiently.
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T-SWEETS:社会网络中信任推理刺激协作的替代选择
本文提出了一种新的社交网络可信度推断方法——T-SWEETS。并介绍了其在基于社交网络的知识管理平台Konnen上的应用。《T-SWEETS》所探讨的特点来自于对相关文献的研究和对34人的实验开发。T-SWEETS的主要目的是作为社会网络协作的激励,因此,自然地增加了用户之间知识传播的频率。因此,它为其他自动化系统(例如推荐系统)提供了背景,因此,可以更有效地探索这些用户产生的知识。
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