The Broad View of Task Type Using Path Analysis

The Broad View of Task Type Using Path Analysis
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使用路径分析的任务类型的广泛视图

DOI:
10.1145/3234944.3234951
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发表时间:
2018
期刊:
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR
影响因子:
--
通讯作者:
Shah, Chirag
Shah, Chirag
中科院分区:
--
文献类型:
--
作者:
Mitsui, Matthew;Shah, Chirag

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许多过去的研究工作已经研究了可观察到的搜索行为之间的关系,驱动搜索的任务,以及用户特征,如搜索专业知识和主题熟悉度。这些研究通常着眼于特征之间的成对关系,以表明任务特征或用户特征可以通过浏览行为的差异来区分。最近的工作已经转向从浏览行为检测和预测任务,但没有额外考虑明显影响浏览的用户或会话特征。从浏览行为推断任务类型时,应在多大程度上考虑用户特征和未记录的特征?本文通过路径分析的透镜考察了这种复杂的关系,表明在未来的任务预测研究中应该考虑这种整体观点。未来的任务预测工作应该考虑从任务到行为的直接联系,通过其他因素的间接联系,以及影响浏览的其他特征。
Many past research efforts have examined the relationships between observable search behaviors, the task that drives searching, and user characteristics such as search expertise and topic familiarity. These studies often look at pairwise relationships between characteristics to show that task characteristics or user characteristics can be distinguished by differences in browsing behavior. Recent work has moved toward detecting and predicting task from browsing behavior but has not additionally considered user or session characteristics that clearly affect browsing. To what extent should user characteristics and unlogged traits be considered when inferring task type from browsing behavior? This paper examines this complex relationship through the lens of path analysis, showing that such a holistic view should be considered in future task prediction research. Future task prediction work should consider direct links from task to behavior, indirect links through other factors, and other characteristics that affect browsing.
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