Extracting Information Seeking Intentions for Web Search Sessions
Extracting Information Seeking Intentions for Web Search Sessions
复制标题
提取网络搜索会话的信息寻求意图
DOI：
10.1145/2911451.2914746
复制
发表时间：
2016
期刊：
影响因子：
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通讯作者：
N. Belkin
中科院分区：
文献类型：
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作者：
M. Mitsui;C. Shah;N. Belkin
我们提出了一种方法，用于提取用户的自我报告的意图从事的信息寻求插曲。我们招募了参与者进行搜索会议，随后要求他们自我报告他们的意图。共有27名用户参与了一项实验室研究，在此期间，他们从事两项搜索任务。在每次搜索会话之后，参与者在观看视频回放的同时表明他们在该会话期间的意图。结果表明，提供给参与者的一组搜索意图是足够的，占意图在四个新闻相关的信息寻求任务：一个副本编辑任务，采访准备任务，关系任务，和故事音高任务。研究结果还表明，可以利用定期模式的意图识别的任务类型，以及潜在的应用程序在搜索过程中的个性化和推荐。
We present a method for extracting the self-reported intentions of users engaged in an information seeking episode. We recruited participants to conduct search sessions and subsequently asked them to self-report their intentions. A total of 27 users participated in a lab study, during which they worked on two search tasks. After each search session, participants indicated their intentions during that session while viewing a video replay. Results indicate that the set of search intentions provided to participants was sufficient to account for intentions in four journalism-related information seeking tasks: a copy editing task, interview preparation task, relationships task, and story pitch task. The results also suggest regular patterns in intentions that can be exploited for identification of task type as well as potential applications to personalization and recommendation during a search episode.