With the development of Internet, a huge number of high quality knowledge was embedded in the databases of Web forums.It is valuable to develop effective retrieval tools for forum information.This paper attempted to find suitable retrieval model for forum data in order to make full use of the forum knowledge to meet the needs of web users.For the differences between forum web pages and news web pages, a key posts extraction algorithm and a structure reconstruction method for forum threading are proposed to obtain the informative posts in forums.These informative posts are then used to build a retrieval system.Experimental results show that the proposed methods can improve the retrieval system for forum data effectively.%随着互联网的发展,网络论坛中蕴涵着数量巨大且质量较好的知识资源.因此对论坛信息进行有效地检索具有重要应用价值.该文研究适合于论坛数据的检索模型,以期能够充分利用论坛平台累积的海量数据来满足用户的信息需求.针对论坛页面和普通新闻页面的区别,该文提出关键帖抽取算法和论坛线索重构算法来选择论坛中信息含量丰富的帖子,并利用得到的帖子构建检索系统.实验表明该文提出的方法能够有效地提升论坛检索系统的效果.
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