63results about How to "Close to actual needs" patented technology

The invention relates to a security-enhanced authorizing and authenticating method of mobile application. The security-enhanced authorizing and authenticating method of the mobile application, disclosed by the invention, comprises the following steps: registering, and acquiring basic information of the mobile application by a publishing system; pre-authorizing, generating a pre-authorizing code of the mobile application by utilizing the basic information, and embedding the pre-authorizing code in a mobile application program; performing enhanced publishing and authorizing, automatically detecting whether the pre-authorizing code and the basic information of the mobile application are correct or not by the publishing system, if so, automatically publishing, collecting practical feature information and a publishing code of the mobile application, and generating a security-enhanced authenticating code with the pre-authorizing code; reliably installing, acquiring the practical feature information, the pre-authorizing code and the publishing code of the mobile application while installing the mobile application so as to generate the security-enhanced authenticating code, and authenticating reliable installation; and reliably starting, in the event of starting the mobile application every time, detecting whether the pre-authorizing code is correct, and starting if the pre-authorizing code is correct. The invention provides a method for detecting the security reliability of the mobile application; and therefore, the problem that user information is stolen as the mobile application is maliciously tampered is effectively avoided.

The invention provides a short text clustering method for book titles in a book market. The method comprises the steps that word vectorization is carried out on text data and set clustering key words, the distances from text data word vectors to a clustering key word vector are calculated, the clustering type of the text data is determined according to the distance from each text data word vector to the clustering key word vector, and the text data is divided into the corresponding cluster set according to the clustering type of the text data; the term frequency-inverse document frequency TF-IDF values of feature words in all the text data word vectors in each clustering set are calculated, and the feature words with the TF-IDF values meeting set conditions are determined as updated clustering key words of the clustering set; according to the updated clustering key words, the clustering type of the text data is determined. By the adoption of the short text clustering method, the clustering type of the text data can be more accurately determined, and the clustering result can better meet practical requirements of users.

The invention discloses a method and device for determining a business limit, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of determining current information of a user; determining a service limit of the user according to the current information and a trained limited dependent variable model, wherein the trained limited dependent variablemodel is obtained by training the limited dependent variable model through the historical application limit and the historical information of the user. According to the method, the influence that theapplication limit is limited by the risk limit is considered, and the business limit closer to the actual demand of the user can be obtained.