Using term relationships in a structured document retrieval model based on influence diagrams

Authors:
Jian-min Xu;Shuang Zhao;Zhen-peng Liu;Bian-fang Chai
Affiliations:
College of Mathematics and Computer Science, Hebei University, Baoding, China;College of Mathematics and Computer Science, Hebei University, Baoding, China;College of Mathematics and Computer Science, Hebei University, Baoding, China;College of Mathematics and Computer Science, Hebei University, Baoding, China
Venue:
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Year:
2005

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Abstract

The performance of an information retrieval system usually increases when it uses the relationships among the terms contained in a given document collection. This paper presents a new Influence Diagrams-based structured document retrieval model which contains two term-layers to represent the term relationships, gives the model’s topology and inference process, and puts forward an efficient learning method based on co-occurrence analysis to capture the relationships among the terms.