图书馆书目检索中,对用户查询意图进行分析有助于提升检索的召回率和排序效果。然而,当前仅依赖用户主动反馈的方式难以获得满意的识别效果。为解决这一问题,文章提出了一种基于词典的查询意图识别策略,从实验效果看,该策略的准确率达到93.4%,远高于用户主动反馈50.6%的准确率,因此是一种有效的识别策略。 Library bibliographic retrieval, the analysis of user query intentions help to improve the search recall and ranking results. However, it is difficult to obtain a satisfactory recognition effect by relying on active feedback from users at present. To solve this problem, the article proposes a dictionary-based query intent recognition strategy. From the experimental results, the accuracy of the strategy reaches 93.4%, which is much higher than the accuracy of 50.6% of users’ initiative feedback, so it is an effective Recognition strategy.