SNIF-ACT: A Model of Information Foraging on the World Wide Web
SNIF-ACT: A Model of Information Foraging on the World Wide Web
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DOI：
10.1007/3-540-44963-9_8
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发表时间：
2003-06
期刊：
影响因子：
--
通讯作者：
P. Pirolli;W. Fu
中科院分区：
文献类型：
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作者：
P. Pirolli;W. Fu
SNIF-ACT(ACT架构中的基于气味的导航和信息搜寻)是为了模拟用户在万维网(WWW)上执行不熟悉的信息搜索任务而开发的。SNIF-ACT基于信息气味的度量来选择动作，该度量是由传播激活机制计算的，该扩散激活机制捕捉WWW页面内容与用户目标的相互关联。SNIF-ACT有两个主要预测：(1)从事不熟悉任务的用户预计会选择具有高度信息气味的链接，(2)当网站的信息气味降低到一定阈值以下时，用户将离开网站。SNIF-ACT与从四个用户收集的数据很好地吻合，每个用户分别从事两项任务。结果表明，当前的基于内容的传播激活SNIF-ACT模型能够对复杂的用户与WWW交互产生有用的预测。
SNIF-ACT (Scent-based Navigation and Information Foraging in the ACT architecture) has been developed to simulate users as they perform unfamiliar information-seeking tasks on the World Wide Web (WWW). SNIF-ACT selects actions based on the measure of information scent, which is calculated by a spreading activation mechanism that captures the mutual relevance of the contents of a WWW page to the goal of the user. There are two main predictions of SNIF-ACT: (1) users working on unfamiliar tasks are expected to choose links that have high information scent, (2) users will leave a site when the information scent of the site diminishes below a certain threshold. SNIF-ACT produced good fits to data collected from four users working on two tasks each. The results suggest that the current content-based spreading activation SNIF-ACT model is able to generate useful predictions about complex user-WWW interactions.