Cloud computing, with its powerful capability of computing and storage and with its large- scale data resource, provides unprecedented opportunities for management and application of human resource information. How to support complex and even unpredictable human resource services as well as manipulate large scale data at the same time to provide good quality of human resource information, is one of the crucial and fundamental problems for cloud-based human resource information system. This paper proposes establishing a general framework for human resource application and services based on cloud. As a type of compact, structured, and knowledgeable human resource information representation, and publish to the user by Internet. Moreover, the case is evidenced by an application example. Cloud computing, which not only brings the new environment for the application of human resources information management but also makes a far-reaching impact on it and its application with the power computing capacity, storage capacity and its vast amounts of data. First of all, powerful cloud computing capacity, storage capacity and pay-as-you-go service mode provide a different mode of processing for the vast and heterogeneous human resources data to make people no longer worry about complex calculations involved and mass storage which related with applications. Thereby, reducing the human resources data source originally isolated problem. Secondly, cloud serves as a unified computing, storage and access platform for human resources data application with transparent access characteristics. People can experience high-quality information service as long as access to the cloud whether PC or mobile phone. More importantly, cloud provides innovative solutions to management and discovery human resource knowledge with its extremely abundant data resource. Many important resources in the hands of specific employees when every enterprise operates accumulated a lot of knowledge, skills, and solutions. The traditional processing method which based on model requires for kinds of modals obtained by trained then classified and recognize the models. However, the trained model often not applicable when applied to the new scene for the limitation by the training data. The model based method is sometimes difficult to conquer the problems such as multiple instance, diversity and multimodal for not fully mining the link between data. Therefore, a variety of human resources information processing method of data driven gradually becomes the mainstream which based on large data in recent years. Cloud has huge amounts of data resources, and the data resource part of which labeled by the users contains abundant knowledge and information.