Currently,with the development of the intelligence service system and the arrival of the big data era,how to use the computer to help graduates make right decisions of job hunting like human is particularly important. Employment consultation intelligent service system with cognitive computation consists of four parts. Data collection unit uses the Scrapy framework for massive employee informa-tion from the various employee network in real-time. Data computing platform carries out the text recognition,feature extraction and text classification by several algorithms based on cognitive computing like random forest,SVM and Naive Bayes,which can correctly realize the feature sampling and data classification. Data storage unit builds the MongoDB cluster to complete the data storage with large memory capacity and high fault tolerance. User service platform integrates the Web framework and has multiple user services. Therefore,it can col-lect and classify effectively the employee information and evaluate students' ability accurately,which can provide students for effective help on choosing the right and good job.%随着智慧服务系统的发展和大数据时代的到来,如何实现类似人脑的认知与判决为应届生求职方向做出正确的决策,显得尤为重要.智慧服务系统由四部分组成,数据采集单元使用Scrapy爬虫框架获取信息,能够实时从各大招聘网站采集招聘信息;数据计算平台使用随机森林、SVM和朴素贝叶斯等基于认知计算的相关算法进行文本识别、特征提取以及文本分类等工作,能够正确实现特征采样和数据分类;数据存储单元搭建MongoDB数据库集群完成数据存储工作,具备海量数据储量能力和高容错性;用户服务平台由Web应用框架构建,具备多用户业务服务能力.因此其能够有效采集和分类招聘信息,准确定位学生能力,从而高效地为院校学生的就业岗位选择提供咨询与帮助.
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