Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources

Authors:
Tobias Keim
Affiliations:
University of Frankfurt, Germany
Venue:
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Year:
2007

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Abstract

Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while the application of RS to the search for objects is well established, this is not the case for the search for subjects. This is astonishing as a growing number of people make personal and professional information digitally available to others by managing profiles in CV databases, social networking platforms and other online services. In order to address this new field of application for RS, we integrate own prior research into a unified multilayer framework supporting the matching of individuals for recruitment and team staffing processes. By this means we enhance RS research and make a next step towards the development of empirically and theoretically grounded decision support for the human resources function.