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智慧市场:管理网络社交用户智慧的新范式

WiseMarket: A New Paradigm for Managing Wisdom of Online Social Users
课程网址: http://videolectures.net/kdd2013_cao_wisemarket/  
主讲教师: Caleb Chen Cao
开课单位: 香港科技大学
开课时间: 2013-09-27
课程语种: 英语
中文简介:
如今,众包的好处因越来越广泛的问题而得到广泛认可。与此同时,社交媒体的快速发展使得寻求一群目标用户的智慧成为可能。然而,在社交媒体上实施众包平台并非易事,特别是要让社交媒体用户成为工作者,我们需要解决以下两个挑战:1)如何激励用户参与任务,以及2)如何为任务选择用户。在本文中,我们将Wise Market作为一个有效的社交媒体众包框架,激励用户谨慎参与任务,并正确汇总他们对配对选择问题的意见。明智市场由一组投资者组成,每个投资者对自己的预测都有相关的个人信心,投资后,只有选择与整个市场相同的投资者才会获得奖励。因此,社交媒体用户必须给出他/她的“最佳”答案才能获得奖励,因此,不鼓励草率用户做出粗心的回答。 在明智市场框架下,我们定义了一个优化问题,以最大限度地降低支付奖励的预期成本,同时保证最低的置信水平,称为有效市场问题(EMP)。在有n个投资者的明智市场中,我们提出了计算市场信心和具有O(nlog2n)时间成本的预期成本的精确算法。为了应对社交媒体上庞大的用户数量,我们设计了一种基于中心极限定理的近似算法来计算具有O(n)时间成本的市场信心,以及一种有界近似算法来估计具有O(n)时间代价的预期成本。最后,我们进行了大量的实验,以验证所提出的算法在真实数据和合成数据上的有效性。
课程简介: The benefits of crowdsourcing are well-recognized today for an increasingly broad range of problems. Meanwhile, the rapid development of social media makes it possible to seek the wisdom of a crowd of targeted users. However, it is not trivial to implement the crowdsourcing platform on social media, specifically to make social media users as workers, we need to address the following two challenges: 1) how to motivate users to participate in tasks, and 2) how to choose users for a task. In this paper, we present Wise Market as an effective framework for crowdsourcing on social media that motivates users to participate in a task with care and correctly aggregates their opinions on pairwise choice problems. The Wise Market consists of a set of investors each with an associated individual confidence in his/her prediction, and after the investment, only the ones whose choices are the same as the whole market are granted rewards. Therefore, a social media user has to give his/her ``best'' answer in order to get rewards, as a consequence, careless answers from sloppy users are discouraged. Under the Wise Market framework, we define an optimization problem to minimize expected cost of paying out rewards while guaranteeing a minimum confidence level, called the Effective Market Problem (EMP). We propose exact algorithms for calculating the market confidence and the expected cost with O(nlog2n) time cost in a Wise Market with n investors. To deal with the enormous number of users on social media, we design a Central Limit Theorem-based approximation algorithm to compute the market confidence with O(n) time cost, as well as a bounded approximation algorithm to calculate the expected cost with O(n) time cost. Finally, we have conducted extensive experiments to validate effectiveness of the proposed algorithms on real and synthetic data.
关 键 词: 市场框架; 智慧市场; 社交网络
课程来源: 视频讲座网
数据采集: 2023-06-12:chenxin01
最后编审: 2023-06-12:chenxin01
阅读次数: 22