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Analysis of Query Entries of a Job Search Engine

机译:求职引擎查询条目分析

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摘要

The amount of interest in analyzing log files is growing with the expanding volume of information on the Web. The primary mode for information retrieval without a doubt has been search engines which can help users filter their information needs. While the population is used to general-purpose search engines, domain-specific search engines exist to segment a certain market and cater to underserved minority interests. Job search engines are widely used by job seekers ranging from new college graduates to those that are attempting to change their jobs. As part of this research, we investigate job search engine, indeed.com. We accumulated the query entries of 10 participants and analyzed the trends. We specifically examine their input queries and how they deal with output search results. Results indicate that the participants, on average, enter 1.66 queries into the main search box. The main query type for a job search engine is entering a job title. Participants rarely look beyond the first page for output search results. Instead of checking the content past the first page, they would refine their search terms and focus again on the first page. Overall, interesting patterns emerge from this research on a job search engine, but more studies are required.
机译:分析日志文件的感兴趣量正在随着Web上的扩展信息累积而增长。毫无疑问的信息检索的主要模式一直是搜索引擎,可以帮助用户过滤他们的信息需求。虽然人口用于通用搜索引擎,但是存在特定于域的搜索引擎,以分段为某个市场,并迎合所提供的少数群体。求职引擎被求职者广泛使用,从新大学毕业生到试图改变工作的求职者。作为本研究的一部分,我们调查求职引擎,Indeed.com。我们累积了10名参与者的查询条目,并分析了趋势。我们专门检查其输入查询以及它们如何处理输出搜索结果。结果表明,参与者平均输入1.66查询到主搜索框中。作业搜索引擎的主要查询类型正在进入职称。参与者很少超越第一个页面以进行输出搜索结果。他们将在第一页上重复搜索条件并在第一页中重新检查他们的搜索条件并重点侧重于第一页。总体而言,有趣的模式从求职引擎的这项研究中出现,但需要更多的研究。

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