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An information retrieval model based on probabilistic network

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4 Author(s)
Dongyu Shi ; Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China ; Zhengwei Qi ; Cheng Fu ; Jinyuan You

This work presents an information retrieval model based on a kind of probabilistic network. The dependence relationships between terms and documents are represented by the topology of the network. The network contains two parts: the term layer and the document layer. The term relationships are represented as an undirected probabilistic network, with the directed arcs toward the nodes indexed in the document layer. Using a learning algorithm, the topology and the probabilities encoding the strength of the relationships can be learned from the document collection automatically. We also provide a two-part inference process to obtain the relevance of the documents to a given query.

Published in:

Services Computing, 2004. (SCC 2004). Proceedings. 2004 IEEE International Conference on

Date of Conference:

15-18 Sept. 2004