Top-k Retrieval for Automated Human Resource Management
Straccia U., Tinelli E., Di Noia T., Di Sciascio E.
Top-k retrieval Human resource Management
We present a knowledge-based system, for skills and talent manage- ment, exploiting semantic technologies combined with top-k retrieval techniques. The system provides advanced distinguishing features, including the possibility to formulate queries by expressing both strict requirements and preferences in the re- quested profile and a semantic-based ranking of retrieved candidates. Based on the knowledge formalized within a domain ontology, the system implements an ap- proach exploiting top-k based reasoning services to evaluate semantic similarity between the requested profile and retrieved ones. System performance is discussed through the presentation of experimental results.
Source: 17th Italian Symposium on Advanced Database Systems, pp. 161–168, Camogli, Genova, 21-24 June 2009
Publisher: Seneca Edizioni, Torino, ITA
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@inproceedings{oai:it.cnr:prodotti:92022,
title = {Top-k Retrieval for Automated Human Resource Management},
author = {Straccia U. and Tinelli E. and Di Noia T. and Di Sciascio E.},
publisher = {Seneca Edizioni, Torino, ITA},
booktitle = {17th Italian Symposium on Advanced Database Systems, pp. 161–168, Camogli, Genova, 21-24 June 2009},
year = {2009}
}
0000-0001-5998-6757