{"id":247682,"date":"2013-03-14T00:00:36","date_gmt":"2013-03-14T07:00:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=247682"},"modified":"2018-10-16T20:06:54","modified_gmt":"2018-10-17T03:06:54","slug":"task-based-search-search-engine-perspective","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/task-based-search-search-engine-perspective\/","title":{"rendered":"Task-based Search: A Search Engine Perspective"},"content":{"rendered":"
Identifying tasks using implicit interactions. This is especially important for tasks that extend across time and devices. The references below provide examples of techniques for identifying queries related to tasks, for predicting whether a task will be resumed, and looking at tasks over a longer time scale.<\/p>\n
References<\/p>\n
Thinking broadly about what support for search tasks looks like. The references below provide examples from simple “answers” seen in web search engines, to apps for specific tasks, to richer environments for exploratory search.<\/p>\n
References<\/p>\n
Identifying tasks using implicit interactions. This is especially important for tasks that extend across time and devices. The references below provide examples of techniques for identifying queries related to tasks, for predicting whether a task will be resumed, and looking at tasks over a longer time scale. References Alexander Kotov, Paul N. Bennett, Ryen W. 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