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[目的/意义]通过网页分类提高搜索引擎及内容网站的检索性能,根据查询意图分类更精确地满足用户需求。[方法/过程]以信息类中文网页为研究对象,采用人工归纳的方法构建信息类查询意图类目体系,提出根据该类目体系对信息类网页进行分类的方法,并通过实验进行验证。[结果/结论]实验结果表明,所提出的方法具有较强的可行性,有助于精确地满足用户信息需求,提高搜索引擎及内容网站的检索性能。
[Purpose / Significance] Improve the search performance of search engines and content websites through webpage classification, and meet user’s needs more accurately according to the query intent classification. [Method / Process] This study focuses on the information Chinese web pages and constructs the information query intent classification system by artificial induction. The paper proposes a method to classify the information web pages according to this classification system, and verifies it through experiments. [Results / Conclusions] The experimental results show that the proposed method is highly feasible, which can help to accurately meet the user information needs and improve the retrieval performance of search engines and content websites.