2015
DOI: 10.1145/2742547
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Constructing Complex Search Tasks with Coherent Subtask Search Goals

Abstract: Nowadays, due to the explosive growth of web content and usage, users deal with their complex search tasks by web search engines. However, conventional search engines consider a search query corresponding only to a simple search task. In order to accomplish a complex search task, which consists of multiple subtask search goals, users usually have to issue a series of queries. For example, the complex search task “travel to Dubai” may involve several subtask search goals, including reserving hotel room, surveyi… Show more

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“…Task extraction is an important research topic in both information retrieval and elearning [31][32][33]. Wang et al [34] pointed out that, in order to complete complex tasks (such as learning), users usually need to submit a series of queries, and multiple sub-learning tasks are involved in the process. If the search engine can predict multiple sub-targets of the learning task, the user can complete the task efficiently.…”
Section: Task Extractionmentioning
confidence: 99%
“…Task extraction is an important research topic in both information retrieval and elearning [31][32][33]. Wang et al [34] pointed out that, in order to complete complex tasks (such as learning), users usually need to submit a series of queries, and multiple sub-learning tasks are involved in the process. If the search engine can predict multiple sub-targets of the learning task, the user can complete the task efficiently.…”
Section: Task Extractionmentioning
confidence: 99%