Participatory information search and recommendation based on social roles and networks
Participatory information search and recommendation based on social roles and networks
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DOI：
10.1007/s11042-013-1849-2
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发表时间：
2015-07
影响因子：
3.6
通讯作者：
Bo Wu;Xiaokang Zhou;Qun Jin
中科院分区：
文献类型：
--
作者：
Bo Wu;Xiaokang Zhou;Qun Jin
随着社交网络服务的日益普及，产生了大量的信息。随着越来越多的用户参与到SNS环境中，他们的网络关系变得像在真实的世界中一样复杂。为了更有效地发现有用的信息，在这项研究中，我们提出了一个参与式的搜索和推荐系统的基础上，用户的社会角色和他们的关系在SNS环境。该系统通过分析用户的社会角色和用户之间的联系网络，以参与式的方式对用户及其信息进行过滤，从而实现个性化的信息搜索和推荐。我们描述了一个原型系统的设计和实现问题，并讨论了如何使用社会角色和连接网络来支持和授权信息搜索和推荐。
With the increasing popularity of social network services, a tremendous amount of information has been produced. And with more and more users involving in the SNS environment, their network relationships have become as complex as in the real world. In order to find out the useful information more efficiently, in this study, we propose a participatory search and recommendation system based on users’ social roles and their relationships in the SNS environment. The proposed system is used to filter users and their messages in a participatory way by analyzing their social roles and connection networks between each user, which can further contribute to personalized information search and recommendation. We describe the design and implementation issues of a prototype system, and discuss how to use the social roles and connection networks to support and empower information search and recommendation.