论文标题
“现代最新笔记本电脑” - 自然语言查询产品搜索的模糊性
'A Modern Up-To-Date Laptop' -- Vagueness in Natural Language Queries for Product Search
论文作者
论文摘要
随着语音助手的兴起和移动搜索使用的增加，自然语言已成为一种重要的查询语言。到目前为止，由于自然语言的模糊性和模棱两可，当前的大多数系统无法处理这些查询。用户将查询配方调整为他们认为搜索引擎的能力，这增加了他们的认知负担。通过我们的研究，我们通过研究产品搜索方案中的真正信息需求来为交互式搜索系统的设计做出贡献。在众包实验中，我们以自然语言收集了132个信息需求。我们研究了配方的模糊性及其与零售商生成的内容和用户生成的产品评论的模糊性。我们的发现表明，模糊性水平以及用户评论作为支持用户具有相当模糊搜索意图的来源的潜力的差异。
With the rise of voice assistants and an increase in mobile search usage, natural language has become an important query language. So far, most of the current systems are not able to process these queries because of the vagueness and ambiguity in natural language. Users have adapted their query formulation to what they think the search engine is capable of, which adds to their cognitive burden. With our research, we contribute to the design of interactive search systems by investigating the genuine information need in a product search scenario. In a crowd-sourcing experiment, we collected 132 information needs in natural language. We examine the vagueness of the formulations and their match to retailer-generated content and user-generated product reviews. Our findings reveal high variance on the level of vagueness and the potential of user reviews as a source for supporting users with rather vague search intents.
