论文信息 - Using Bayesian Networks as Retrieval Engines

Using Bayesian Networks as Retrieval Engines

In this paper we discuss Bayesian network implementation for retrieving documents in a text database. We participate in TREC-5 for ad-hoc task in category B. Several problems and possible solutions in implementing large scale text retrieval system using Bayesian network are discussed. The main problems are the existence of loop and large number of parents per-node. The solutions suggested are that of intelligence node and virtual layer. Comparison with other Bayesian approach to text retrieval is also discussed. We show that our approach gives more correct semantic to the retrieval model

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