Improving an Information Retrieval System by Using Machine Learning to Improve User Relevance Feedback
The aim of this thesis work is to improve the performance of an already existing information retrieval system that uses relevance feedback for performing query expansion. It is a constant goal to improve this system because the docu- ments that are retrieved are a base for various data analysis task...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för datavetenskap och kommunikation (CSC)
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-185184 |