Automatisk tildeling af medarbejdere til arbejdsopgaver
Student thesis: Master Thesis and HD Thesis
- Lars Schunk
2. term, Computer Science, Master (Master Programme)
In recent years, information retrieval techniques have been augmented in order to
facilitate automated expert finding by searching document collections for both query
topics and associated experts. Typical approaches presume that information about
expert candidates exists within the document collections. I argue that such a
presumption is not warranted in some enterprise settings. Instead, I turn to structured
corporate data---transactions of working hours---to form document-candidate
associations. Based on this idea, I design and implement a working expert finding
system for a software company. I conclude that presuming the document collection to
contain candidate information is not necessary in many enterprise settings because operational systems may contain structured data that is more reliable.
Language | English |
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Publication date | 2009 |
Number of pages | 76 |
Publishing institution | Aalborg Universitet |