CAJ | 학술논문

随着互联网和社交网络的发展，个人信息越来越多地暴露在网络空间中，有效收集和挖掘这些信息可发现所需要的人才信息。设计了一个人才发现与推荐系统，该系统基于 Hadoop平台，利用网络爬虫程序寻找网页，通过信息抽取技术获取页面内容，利用lucene的分词器提取文本中的关键词，根据关联规则算法挖掘出关联关键词，采用基于相似项的策略推荐人才。系统为企业提供了一种基于网页数据的技术人才发现和推荐工具，节约了大量时间和成本。
수착호련망화사교망락적발전，개인신식월래월다지폭로재망락공간중，유효수집화알굴저사신식가발현소수요적인재신식。설계료일개인재발현여추천계통，해계통기우 Hadoop평태，이용망락파충정서심조망혈，통과신식추취기술획취혈면내용，이용lucene적분사기제취문본중적관건사，근거관련규칙산법알굴출관련관건사，채용기우상사항적책략추천인재。계통위기업제공료일충기우망혈수거적기술인재발현화추천공구，절약료대량시간화성본。
With the development of the Internet and social networks ,there is more and more personal information exposed to the network space .Collecting and mining these information can help to find talents’ information in need .In this paper , we design a discovered and recommended system for talents ,which is based on the Hadoop platform .This system uses Web crawlers to search the websites ,get access to page contents through information extracting ,extract keywords in the texts by using lucene’s analyzer ,dine related keywords according to association rules algorithm ,adopt a strategy based on similar items to recommend talents .This system provides enterprises with a tool of finding and recommending technical talents based on web data ,saving a lot of time and cost .