%0期刊文章%@ 1438-8871 %I Gunther Eysenbach %V 5% N 4% P e31 %T在互联网上搜索癌症信息:分析自然语言搜索查询%A Bader,Judith L %A Theofanos,Mary Frances %+通信技术分支，国家癌症研究所，6116 Executive Blvd, Suite 3048A, Bethesda MD 20852, USA， +1 301 594 3382, jbader@mail.nih.gov %K癌症%K互联网%K搜索引擎%K自然语言处理%D 2003 %7 11.12.2003 %9原始论文%J J医学互联网Res %G英语%X背景:搜索健康信息是互联网用户最常见的任务之一。许多用户开始在流行的搜索引擎上搜索，而不是著名的健康信息网站。我们知道，许多访问我们(国家癌症研究所)网站Cancer .gov的人是通过搜索引擎结果中的链接到达的。目的:为了更多地了解我们普通用户的具体需求，我们想了解外行用户真正想知道的关于癌症的信息，他们如何表达他们的问题，以及他们使用了多少细节。方法:国家癌症研究所与AskJeeves, Inc合作开发了一种方法来捕获、采样和分析Ask.com网站上3个月的癌症相关查询，Ask.com网站是美国著名的消费者搜索引擎，每周收到超过3500万次查询。使用由国家癌症研究所提供的500个术语和词根的基准集，AskJeeves在2001年8月确定了一个为期一周的癌症查询测试样本。在这500个词汇中，在17208个查询中，只有37个在试用测试周内出现次数≥5次/天。使用这37个术语，在Ask.com 2001年6月至8月的实际测试期间的查询日志中发现了204165个癌症查询实例。其中，7500个用户问题被随机选择进行详细分析，并被分配到适当的类别。 The exact language of sample queries is presented. Results: Considering multiples of the same questions, the sample of 7500 individual user queries represented 76077 queries (37% of the total 3-month pool). Overall 78.37% of sampled Cancer queries asked about 14 specific cancer types. Within each cancer type, queries were sorted into appropriate subcategories including at least the following: General Information, Symptoms, Diagnosis and Testing, Treatment, Statistics, Definition, and Cause/Risk/Link. The most-common specific cancer types mentioned in queries were Digestive/Gastrointestinal/Bowel (15.0%), Breast (11.7%), Skin (11.3%), and Genitourinary (10.5%). Additional subcategories of queries about specific cancer types varied, depending on user input. Queries that were not specific to a cancer type were also tracked and categorized. Conclusions: Natural-language searching affords users the opportunity to fully express their information needs and can aid users naïve to the content and vocabulary. The specific queries analyzed for this study reflect news and research studies reported during the study dates and would surely change with different study dates. Analyzing queries from search engines represents one way of knowing what kinds of content to provide to users of a given Web site. Users ask questions using whole sentences and keywords, often misspelling words. Providing the option for natural-language searching does not obviate the need for good information architecture, usability engineering, and user testing in order to optimize user experience. %M 14713659 %R 10.2196/jmir.5.4.e31 %U //www.mybigtv.com/2003/4/e31/ %U https://doi.org/10.2196/jmir.5.4.e31 %U http://www.ncbi.nlm.nih.gov/pubmed/14713659