Website authority is generally measured by external links. The more high-quality external links are, the more authoritative the website or web page itself is. Evaluation website authoritative algorithm has PageRank and so on. However, the impact of such algorithms on the authority of the website is selective, making this method has some drawbacks. This study uses the method of deep learning, by mapping search terms and URLs into vectors, and then calculates the similarity between two vectors to judge the authority of different websites under a certain search term. The website with high similarity of calculation results is referred to as an authoritative site under the search term, so we can use another view to measure the authority of website. By comparing two different model experiments using Word2vec and LSTM, the experimental results on open datasets show that it is effective to use both models, and LSTM model is better than Word2vec model.