贝叶斯网络是当今人工智能领域用于处理不确定性问题的主要方法之一,在过去十几年中已经以各种方式应用于信息检索领域.本文以信念网络模型为基础,介绍了该理论在信息检索中应用的基本方法,探讨了利用贝叶斯网络组合不同证据进行信息检索问题,最后分析了今后的研究热点.
[1] 欧洁, 林守勋. 基于贝叶斯网络模型的信息检索 [J]. 微电子学与计算机 2003.doi:10.3969/j.issn.1000-7180.2003.05.023
[2] DE CAMPOS L M, FERNANDEZ-LUNA J M, HUETE J F. The BNR model:foundations and performance of a Bayesian network-based retrieval model [J]. International Journal of Approximate Reasoning 2003, 34(03).
[3] Luis M. de Campos, Juan M. Fernandez-Luna, Juan F. Huete. Bayesian networks and information retrieval: an introduction to the special issue [J]. Information Processing & Management: Libraries and Information Retrieval Systems and Communication Networks: An International Journal 2004, 5(5).
[4] TURTLE H R, CROFT W B. Efficient probabilistic inference for text retrieval [A]. Barcelona, Spain 1991.
[5] RIBEIRO-NETO B, MUNTZ R. A belief network model for IR [A]. Zurich, Switzerland 1996.
[6] Acid S., de Campos LM., Fernandez-Luna JM., Huete JF.. An information retrieval model based on simple Bayesian networks [J]. International journal of intelligent systems 2003, 2(2).
[7] Jon M. Kleinberg. Authoritative Sources in a Hyperlinked Environment [J]. Journal of the Association for Computing Machinery 1999, 5(5).
[8] PAVEL CALADO, BERTHIER RIBEIRO-NETO NIVIO ZIVIANI, EDLENO MOURA, ILMERIO SILVA. Local Versus Global Link Information in the Web [J]. ACM transactions on information systems 2003, 1(1).
[9] SILVA I, RIBEIRO-NETO B, CALADO P. Link-based and content-based evidential information in a belief network model [A]. Athens, Greece 2000.
[10] DE CAMPOS L M, FERN(A)NDEZ-LUNA J M, HUETE J F. Clustering terms in the Bayesian network retrieval model:a new approach with two term-layers [J]. Applied Soft Computing Journal 2004, 4(02).
