CoNotate:基于笔记的查询建议促进了知识发现

Srishti Palani, Zijian Ding, Austin Nguyen, Andrew Chuang, S. Macneil, Steven W. Dow
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引用次数: 14

摘要

当通过网络搜索探索一个新领域时,人们常常难以清晰地表达查询,因为他们缺乏特定于领域的语言和定义良好的信息目标。也许搜索工具过于依赖查询来理解搜索者想要什么。为了在探索性搜索过程中扩展用户对上下文的理解,我们引入了一个新的系统,CoNotate,它根据分析搜索者的笔记和以前的搜索模式和信息中的空白提供查询建议。为了评估这种方法,我们进行了一项受试者内研究,参与者(n=38)使用基线系统(标准网络搜索)和CoNotate系统进行探索性搜索。与标准的web搜索相比,contate方法帮助搜索者发出了更多的查询,并发现了更多的术语。这项工作展示了搜索如何利用用户生成的内容来帮助人们开始探索复杂的、多方面的信息空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery
When exploring a new domain through web search, people often struggle to articulate queries because they lack domain-specific language and well-defined informational goals. Perhaps search tools rely too much on the query to understand what a searcher wants. Towards expanding this contextual understanding of a user during exploratory search, we introduce a novel system, CoNotate, which offers query suggestions based on analyzing the searcher’s notes and previous searches for patterns and gaps in information. To evaluate this approach, we conducted a within-subjects study where participants (n=38) conducted exploratory searches using a baseline system (standard web search) and the CoNotate system. The CoNotate approach helped searchers issue significantly more queries, and discover more terminology than standard web search. This work demonstrates how search can leverage user-generated content to help people get started when exploring complex, multi-faceted information spaces.
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