AN AUTOMATED RECOMMENDATION APPROACH TO SELECTION IN PERSONNEL RECRUITMENT

9th Americas Conference on Information Systems, AMCIS 2003

Volumn , Issue , 2003, Pages 2329-2339

  Färber, Frank ^a   Weitzel, Tim ^a   Keim, Tobias ^b  

^a GOETHE UNIVERSITY   (Germany)

^b Univentures GmbH   (Germany)

Author keywords

Automated recommendation; probabilistic modeling; recruitment; selection and assessment

Indexed keywords

PERSONNEL SELECTION;

ADVERTIZING; AUTOMATED RECOMMENDATION; MATCHING METHODS; MATCHINGS; ONLINE RECRUITMENT; PROBABILISTIC MODELS; RECRUITMENT; SEARCH METHOD; SEARCH QUALITY; SELECTION AND ASSESSMENTS;

AUTOMATION;

EID: 85080785494     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Albert, G. Betriebliche Personalwirtschaft, Ludwigshafen a.R., Germany: Kiehl, 1998.
2. Armstrong, M. A handbook of personnel management practice (5th edition), London, UK: Kogan Page, 1995.
3. Balabanoviƒ, M., and Shoham, Y. "Fab: content-based, collaborative recommendation," Communications of the ACM (40:3), March 1997, pp. 66-72.
4. Breese, J. S., Heckerman, D., and Kadie, K. "Empirical analysis of predictive algorithms for collaborative filtering,” Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, San Francisco, California, USA, 1998, pp. 43-52.
5. Cooper, C. Individual Differences, London, UK: Arnold, 1998.
6. Dallmöller, K. Neuronale Netze zur Unterstützung von Matchingprozessen: Konzeption-Modellierung-Implementierung, Wiesbaden, Germany: Deutscher Universitäts Verlag, 1998.
7. Dempster, A.P., Laird, N.M., and Rubin, D.B. “Maximum likelihood from incomplete data via the EM algorithm,” J. Royal Statist. Soc. B 39, 1977, pp. 1-38.
8. Foltz, P.W., and Dumais, S.T. “Personalized information delivery: an analysis of information filtering methods,” Communications of the ACM (35:12), December 1992, pp. 51-60.
9. Goldstein, I. L. “Interrelationships between the foundations for selection and training systems,” Anderson, N., Herriot, P. (eds.) International Handbook of Selection and Assessment, Chichester, UK: John Wiley & Sons, 1997, pp. 529-541.
10. Herriot, P., and Anderson, N. “Selecting for change: how will personnel and selection psychology survive?,” Anderson, N., and Herriot, P. (eds.) International Handbook of Selection and Assessment, Chichester, UK: John Wiley & Sons, 1997, pp. 1-34.
11. Hofmann, T. “Probabilistic latent semantic analysis,” Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, 1999, pp. 289-296.
12. Hofmann, T., and Puzicha, J. “Latent class models for collaborative filtering,” Proceedings of the 16th International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 1999, pp. 688-693.
13. Jackson, S.E. “The consequences of diversity in multidisciplinary work teams,” West, M.A. (ed.) Handbook of workgroup psychology, Chichester, UK: John Wiley & Sons, 1996, pp. 53-76.
14. Kompa, A. Personalbeschaffung und Personalauswahl, second edition, Stuttgart, Germany: Enke, 1989.
15. König, W., Wendt, O., Färber, F., Keim, T., Weitzel T., and von Westarp, F. Recruiting Trends 2003-Eine empirische Untersuchung der Top-1000-Unternehmen in Deutschland, research report, University of Frankfurt, 2003.
16. Melville, P, Mooney, R.J., and Nagarajan, R. “Content-boosted collaborative filtering for improved recommendations,” Proceedings of the 18th National Conference on Artificial Intelligence, Edmonton, Alberta, Canada, 2002, pp. 187 – 192.
17. Popescul, A., Ungar, L.H., Pennock, D.M., and Lawrence, S. “Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments,” Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence, Seattle, Washington, USA, 2001, pp. 437-444.
18. Rashid, A.M., Albert, I., Cosley, D., Lam, S.K., McNee, S.M., Konstan, J.A., and Riedl, J. “Getting to Know You: Learning New User Preferences in Recommender Systems,” Proceedings of the 2002 International Conference on Intelligent User Interfaces, San Francisco, California, USA, 2002, pp. 127-134.
19. Resnick, P., and Varian, H.R. “Recommender systems,” Communications of the ACM (40:3), March 1997, pp. 56-58.
20. Sarwar, B., Karypis, G., Konstan, J., and Riedl, J. “Analysis of recommendation algorithms for e-commerce,” Proceedings of the ACM Conference on Electronic Commerce, Minneapolis, Minnesota, USA, 2000, pp. 158-167.
21. Schein, A., Popescul, A., Ungar, L.H., and Pennock, D.M. “Methods and metrics for cold-start recommendations,” Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, 2002, pp. 253-260.
22. Schneider, B. Personalbeschaffung, Frankfurt a.M., Germany: Peter Lang Europäischer Verlag der Wissenschaften, 1995.
23. Wright, M., Storey, J. “Recruitment and Selection,” Beardwell, I., and Holden, L. (eds.) Human Resource Management: a contemporary perspective, London, UK: Pitman: 1997, pp. 210-273.