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Information Retrieval Using Bayesian Networks

机译:使用贝叶斯网络检索信息

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Information retrieval (IR) systems are used for finding those documents, which satisfy user information need. By such a great increase of documents in the Internet, income of information in databases, precise and quick retrieval of relevant documents is of great significance. Artificial intelligence methods can be essential for achieving this goal. The article describes one of such methods - a model of IR based on Bayesian networks. Usage of the network and an experiment aiming in showing that using this method improves information retrieval is presented. An emphasis was made on the benefits of using the Bayesian networks and the way of adapting such a network to information retrieval system is presented.
机译:信息检索(IR)系统用于查找满足用户信息需求的那些文档。通过互联网中的文件增加,数据库中信息的收入,精确和相关文件的快速检索具有重要意义。人工智能方法对于实现这一目标至关重要。本文介绍了一种这样的方法 - 基于贝叶斯网络的IR模型。网络的使用和旨在表明使用该方法的实验提高了信息检索。提出了强调使用贝叶斯网络的好处,并提出了将这种网络调整到信息检索系统的方式。

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