HAIR: Towards Developing a Global Self-Updating Peer Support Group Meeting List Using Human-Aided Information Retrieval
HAIR: Towards Developing a Global Self-Updating Peer Support Group Meeting List Using Human-Aided Information Retrieval
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DOI：
10.1145/3295750.3298933
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发表时间：
2019-03
期刊：
影响因子：
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通讯作者：
Sabirat Rubya;Xizi Wang;S. Yarosh
中科院分区：
文献类型：
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作者：
Sabirat Rubya;Xizi Wang;S. Yarosh
匿名酗酒者（AA）是最大的基层同侪支持团体的任何健康状况。虽然AA会议出席对于刚清醒的人来说特别重要，但由于AA的组织结构倾向于区域自治，因此缺乏全球最新的会议列表，新人往往很难找到会议。检测包含会议的区域网页并从这些网页中提取会议的日期、时间和地址，是在全球会议列表中提供信息并使其保持最新的重要步骤。然而，不同的网页和会议的结构提出了挑战，在实现与传统的信息检索方法的目标。在本文中，我们提出了HAIR：一个半自动的人工辅助信息检索技术，并探讨其潜力，以解决这个问题。我们描述了未来的发展方向，在开发这个关键的工具，并讨论了我们的工作的主要影响，指出特定的上下文，而不是上下文不可知的半自动信息检索技术的重要性，通过概念化提出的方法和结果在更广泛的背景下。
Alcoholics Anonymous (AA) is the largest grassroots peer support group for any health condition. While AA meeting attendance is particularly important for people who are newly sober, newcomers often have trouble finding meetings because of a lack of global up-to-date meeting list due to preference for regional autonomy in AA's organizational structure. Detection of regional webpages containing meetings and extraction of day, time, and address of meetings from those pages are essential steps in making the information available and up-to-date in a global meeting list. However, varied structure of the webpages and the meetings pose challenges in achieving the goal with traditional information retrieval methods. In this paper we propose HAIR: a semi-automated human-aided information retrieval technique and explore its potential to solve this problem. We describe future directions in developing this critical tool and discuss major implications of our work in pointing to the importance of context-specific rather than context-agnostic semi-automated in-formation retrieval techniques by conceptualizing the proposed methods and results in a broader context.