A locating method based on learning to rank is proposed to solve the location of urban facilities and introduce the features of human mobility to improve the effectiveness. First， representation vector is extracted with two stream autoencoders， fusing the features of human mobility with others. Then the plots are sorted based on representation vector of the candidate sets and the ranking network. Extensive experiments based on real multi-source dataset verify the effectiveness of the proposed locating method.