{"title":"人力资源认知系统","authors":"R. Chwastek","doi":"10.1109/BESC.2017.8256384","DOIUrl":null,"url":null,"abstract":"This paper describes applications of natural language processing, full text search, big data and machine learning algorithms in the Human Resources (HR) area. Such applications already speed up data entry done by candidates and employees by parsing their CVs. In the near future they can help in analyzing market conditions, find employees who expect promotion by evaluating career paths or uncover hidden talents by analyzing graphs of interactions. Cognitive HR systems will be used to find and keep talented persons within companies building their market advantage at reasonable cost. However, proper care shall be taken to ensure that there are still equal employment opportunities, everything is compliant with legal regulations as well as satisfactory ethical standards are kept.","PeriodicalId":142098,"journal":{"name":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cognitive systems in human resources\",\"authors\":\"R. Chwastek\",\"doi\":\"10.1109/BESC.2017.8256384\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes applications of natural language processing, full text search, big data and machine learning algorithms in the Human Resources (HR) area. Such applications already speed up data entry done by candidates and employees by parsing their CVs. In the near future they can help in analyzing market conditions, find employees who expect promotion by evaluating career paths or uncover hidden talents by analyzing graphs of interactions. Cognitive HR systems will be used to find and keep talented persons within companies building their market advantage at reasonable cost. However, proper care shall be taken to ensure that there are still equal employment opportunities, everything is compliant with legal regulations as well as satisfactory ethical standards are kept.\",\"PeriodicalId\":142098,\"journal\":{\"name\":\"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BESC.2017.8256384\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BESC.2017.8256384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes applications of natural language processing, full text search, big data and machine learning algorithms in the Human Resources (HR) area. Such applications already speed up data entry done by candidates and employees by parsing their CVs. In the near future they can help in analyzing market conditions, find employees who expect promotion by evaluating career paths or uncover hidden talents by analyzing graphs of interactions. Cognitive HR systems will be used to find and keep talented persons within companies building their market advantage at reasonable cost. However, proper care shall be taken to ensure that there are still equal employment opportunities, everything is compliant with legal regulations as well as satisfactory ethical standards are kept.
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