Because of the diversity of users' interests and behavior, it is a great challenge to provide appropriate search results for different users. The social tags in Web 2.0 result from users' annotation behavior for pages that they are interested in. The user uses tags frequently to describe these topics, therefore the tags not only represent the user's query intention, but also reveal the Web information best. This paper presents a research for user-oriented query intention. It aims at adding the tags which can reflect the user's real query intention to the query. Tags as a supplement to the query keywords, not only can make up the defects of short queries, but also accord to the correlation between the query tags and Web content in sorting the related results. If the user just uses the keywords, the query log needs to be used to recommend high-quality tag as a supplement to the query keywords, and return more relevant results. Experimental results show that the proposed method is better in meeting the needs of users than other methods, making the search results more close to user requirements. This means that the social tags can make an important contribution to catching the query intention.