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Mixed graph of terms for query expansion
- Source :
- ISDA
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- It is well known that one way to improve the accuracy of a text retrieval system is to expand the original query with additional knowledge coded through topic-related terms. In the case of an interactive environment, the expansion, which is usually represented as a list of words, is extracted from documents whose relevance is known thanks to the feedback of the user. In this paper we argue that the accuracy of a text retrieval system can be improved if we employ a query expansion method based on a mixed Graph of Terms representation instead of a method based on a simple list of words. The graph, that is composed of a directed and an undirected subgraph, can be automatically extracted from a small set of only relevant documents (namely the user feedback) using a method for term extraction based on the probabilistic Topic Model. The evaluation of the proposed method has been carried out by performing a comparison with two less complex structures: one represented as a set of pairs of words and another that is a simple list of words.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- ISDA
- Accession number :
- edsair.doi.dedup.....6f52168f51748beab44a7a30eec4851f