Anchor texts have been extensively used and have proven to be effective over the years in commercial Web search engines; however, anchor texts are created freely without any supervision, which causes there to be a large number of noises and spam in anchor texts. Moreover, for transactional queries, which need measurements of service quality, destination, Web pages of anchor texts are not always consistent with user experience. To overcome these problems, this paper focuses on the large scale of the user Web browsing behavior data. This paper first proposes a framework for a retrieval effectiveness measurement. Then, based on this framework, analyze the relation between the user Web browsing behavior data and retrieval effectiveness of anchor texts is analyzed. The properties of a user Web browsing behavior, which are useful for Web search, are mined and quantified. Experimental results show that the proposed method offers an accurate evaluation on the retrieval effectiveness of anchor texts.