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Search Costs vs. User Satisfaction on Mobile

机译:移动设备上的搜索成本与用户满意度

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Information seeking is an interactive process where users submit search queries, read snippets or click on documents until their information need is satisfied. User cost-benefit models have recently gained popularity to study search behaviour. These models assume that a user gains information at expense of some cost. Primary assumption is that an adept user would maximize gain while minimizing search costs. However, existing work only provides an estimate of user cost or benefit per action, it does not explore how these costs are correlated with user satisfaction. Moreover, parameters of these models are determined by desktop based observational studies. Whether these parameters vary with device is unknown. In this paper we address both problems by studying how these models correlate with user satisfaction and determine parameters on data collected via mobile based search study. Our experiments indicate that several parameters indeed differ in mobile setting and that existing cost functions, when applied to mobile search, do not highly correlate with user satisfaction.
机译:信息搜索是一个交互式过程,用户可以提交搜索查询,阅读摘录或单击文档,直到满足他们的信息需求为止。用户成本效益模型最近已开始流行以研究搜索行为。这些模型假定用户以一些成本为代价获得信息。主要假设是熟练的用户将在最大程度地增加收益的同时将搜索成本降至最低。但是,现有工作仅提供用户成本或每次操作收益的估计,而没有探讨这些成本与用户满意度之间的关系。此外,这些模型的参数是通过基于桌面的观察研究确定的。这些参数是否随设备而变化是未知的。在本文中,我们通过研究这些模型如何与用户满意度相关联并确定通过基于移动的搜索研究收集的数据上的参数来解决这两个问题。我们的实验表明,几个参数的确在移动设备设置上有所不同,并且现有的成本函数在应用于移动搜索时与用户满意度没有高度关联。

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