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Interviews Aided with Machine Learning
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- Ambrosius, Robin (author)
- Dezember IT GmbH, Germany
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- Ericsson, Morgan, Docent, 1973- (author)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),DISA;DSIQ;DISTA
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- Löwe, Welf (author)
- Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),DISA;DSIQ;DISTA
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- (creator_code:org_t)
- 2018-08-26
- 2018
- English.
- In: Perspectives in Business Informatics Research. BIR 2018. - Cham : Springer. - 9783319999500 - 9783319999517 ; , s. 202-216
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- We have designed and implemented a Computer Aided Personal Interview (CAPI) system that learns from expert interviews and can support less experienced interviewers by for example suggesting questions to ask or skip. We were particularly interested to streamline the due diligence process when estimating the value for software startups. For our design we evaluated some machine learning algorithms and their trade-offs, and in a small case study we evaluates their implementation and performance. We find that while there is room for improvement, the system can learn and recommend questions. The CAPI system can in principle be applied to any domain in which long interview sessions should be shortened without sacrificing the quality of the assessment.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Software Engineering (hsv//eng)
Keyword
- Software Technology
- Programvaruteknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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