CAJ | 학술논문

通过关联规则挖掘技术，提出了一个基于 Web 挖掘的产品功能可用性评价方法，用来在产品定义阶段分析产品功能的可用性。首先采用网络爬虫技术收集 Web 上同类或类似产品的海量评论，经过预处理，利用 Apriori 算法进行关联规则挖掘，抽取消费者对产品各个功能的可用性的评价。然后根据挖掘的规则建立一个评论分类器，用来识别评论语句是否与可用性有关、判断其语义倾向并进行分类。最后，基于分类结果建立可用度评分，进而进行产品功能的可用性评价。通过万能遥控器案例验证了该方法的有效性。
통과관련규칙알굴기술，제출료일개기우 Web 알굴적산품공능가용성평개방법，용래재산품정의계단분석산품공능적가용성。수선채용망락파충기술수집 Web 상동류혹유사산품적해량평론，경과예처리，이용 Apriori 산법진행관련규칙알굴，추취소비자대산품각개공능적가용성적평개。연후근거알굴적규칙건립일개평론분류기，용래식별평론어구시부여가용성유관、판단기어의경향병진행분류。최후，기우분류결과건립가용도평분，진이진행산품공능적가용성평개。통과만능요공기안례험증료해방법적유효성。
An approach of product usability evaluation based on Web mining is proposed in this paper,which can help evaluate product usability in the product definition stage.With a web crawler,it collects massive online customer reviews on analogous products.Association rule mining techniques are adopted to extract customer opinions on the usability of product features. The Apriori algorithm is used for mining association rules,based on which a classifier is built to identify whether a review sentence is related to a feature’s usability and to judge its semantic orientation.Then a usability index is defined to help designers evaluate the feature’s usability.A case study is given to validate the proposed approach.