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首页> 外文期刊>International Journal on Computer Science and Engineering >An Evaluative Model for Information Retrieval System Evaluation: A Usercentered Approach
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An Evaluative Model for Information Retrieval System Evaluation: A Usercentered Approach

机译:信息检索系统评估的评估模型:以用户为中心的方法

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The key technology for knowledge management that guarantees access to large corpora of both structured and unstructured data is Information retrieval (IR) Systems. The ones commonly used on an everyday basis are search engines. This study developed and validated an evaluative model from user?s perspective meant to assess these systems using the user-centered approach. Items used and validated in other related studies were used to elicit responses from over 250 users. The reliability and validity of the measurement instrument (MI) was demonstrated using statistics such as internal consistency, composite reliability and convergent validity. After assessing the reliability and validity of the MI, the resultant evaluative model was estimated for goodness-of-fit using the structural equation modeling (SEM) technique. Results confirmed that the suggested model is valid and will be useful to researchers who wish to use it. Thus, this study suggests both the parameters and methods employed to formulate the model for use in user-centered studies for the evaluation of IR system. Both the evaluative model, factor analytic methods of data analysis, could be used to understand and present more factors (parameters) that will be usable for IR system evaluation using the user-centered approach.
机译:知识管理(IR)系统是确保访问大型结构化和非结构化数据集的知识管理的关键技术。日常常用的是搜索引擎。这项研究从用户的角度开发并验证了一种评估模型,该模型旨在使用以用户为中心的方法来评估这些系统。其他相关研究中使用和验证的项目被用来引起250多个用户的回应。使用诸如内部一致性,复合可靠性和收敛有效性等统计数据证明了测量仪器(MI)的可靠性和有效性。在评估了MI的可靠性和有效性之后,使用结构方程模型(SEM)技术估算了所得评估模型的拟合优度。结果证实了建议的模型是有效的,并将对希望使用它的研究人员有用。因此,本研究提出了用于建立模型的参数和方法,以用于以用户为中心的研究,以评估IR系统。评估模型和数据分析的因子分析方法都可以用来理解和呈现更多的因子(参数),这些因子可用于以用户为中心的红外系统评估。

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