The rich and colorful leather design brings a broad stage of fashion design in the past, China＇s leather （leather） clothing brand single, old style, color： black, blue, is brown. The economic and cultural developm...The rich and colorful leather design brings a broad stage of fashion design in the past, China＇s leather （leather） clothing brand single, old style, color： black, blue, is brown. The economic and cultural development, leading the fashion changes, the concept is also constantly promote the development of a new direction, to the consumer, aesthetic with the change of consumption concept, the fur （leather） apparel consumption presents a civilian, personalized, ideal trend, leather （leather） clothing to reflects personal charm and style of the clothing style, design aesthetic appreciation, knowledge and other aspects of the new technology and new materials to absorb human body art is to stimulate leather （leather） the change of clothing. With the continuous development of science and technology, intelligent garment customization to the majority of consumers, the effect of intelligent custom fur （leather） three direction costumes （fabrics, colors, styles） for innovative research, get a Of leather （leather） costumes to break the current leather （leather） styles of dull shape, rich leather （leather） and other clothing charm, for the fur （leather） costumes to all ages personality need to provide ideas and new development space.展开更多
Customer churn may be a critical issue for banks. The extant literature on statistical and machine learning for customer churn focuses on the problem of correctly predicting that a customer is about to switch bank, wh...Customer churn may be a critical issue for banks. The extant literature on statistical and machine learning for customer churn focuses on the problem of correctly predicting that a customer is about to switch bank, while very rarely consid-ers the problem of generating personalized actions to improve the customer retention rate. However, these decisions are at least as critical as the correct identification of customers at risk. The decision of what actions to deliver to what customers is normally left to managers who can only rely upon their knowledge. By looking at the scientific literature on CRM and personalization, this research proposes a number of models which can be used to generate marketing ac-tions, and shows how to integrate them into a model embracing both the analytical prediction of customer churn and the generation of retention actions. The benefits and risks associated with each approach are discussed. The paper also describes a case of application of a predictive model of customer churn in a retail bank where the analysts have also generated a set of personalized actions to retain customers by using one of the approaches presented in the paper, namely by adapting a recommender system approach to the retention problem.展开更多
The development of Web service has changed the process of software production, and requirements engineering becomes the key issue of service-oriented software engineering. Meantime, it reduces the degree of difficulty...The development of Web service has changed the process of software production, and requirements engineering becomes the key issue of service-oriented software engineering. Meantime, it reduces the degree of difficulty of software production, which facilitates end-users to customize software according to their personalized requirements. The paper proposes a method for service-oriented personalized requirements analysis, which is based on domain goal model and process model. The method can inform users of potential errors in requirements by detecting the correctness of requirements, which is driven by users’ personalized operations on goal models, and customize personalized processes to satisfy users’ requirements by reusing domain processes. The personalized processes are the basis for Web service discovery and composition.展开更多
文摘The rich and colorful leather design brings a broad stage of fashion design in the past, China＇s leather （leather） clothing brand single, old style, color： black, blue, is brown. The economic and cultural development, leading the fashion changes, the concept is also constantly promote the development of a new direction, to the consumer, aesthetic with the change of consumption concept, the fur （leather） apparel consumption presents a civilian, personalized, ideal trend, leather （leather） clothing to reflects personal charm and style of the clothing style, design aesthetic appreciation, knowledge and other aspects of the new technology and new materials to absorb human body art is to stimulate leather （leather） the change of clothing. With the continuous development of science and technology, intelligent garment customization to the majority of consumers, the effect of intelligent custom fur （leather） three direction costumes （fabrics, colors, styles） for innovative research, get a Of leather （leather） costumes to break the current leather （leather） styles of dull shape, rich leather （leather） and other clothing charm, for the fur （leather） costumes to all ages personality need to provide ideas and new development space.
文摘Customer churn may be a critical issue for banks. The extant literature on statistical and machine learning for customer churn focuses on the problem of correctly predicting that a customer is about to switch bank, while very rarely consid-ers the problem of generating personalized actions to improve the customer retention rate. However, these decisions are at least as critical as the correct identification of customers at risk. The decision of what actions to deliver to what customers is normally left to managers who can only rely upon their knowledge. By looking at the scientific literature on CRM and personalization, this research proposes a number of models which can be used to generate marketing ac-tions, and shows how to integrate them into a model embracing both the analytical prediction of customer churn and the generation of retention actions. The benefits and risks associated with each approach are discussed. The paper also describes a case of application of a predictive model of customer churn in a retail bank where the analysts have also generated a set of personalized actions to retain customers by using one of the approaches presented in the paper, namely by adapting a recommender system approach to the retention problem.
文摘The development of Web service has changed the process of software production, and requirements engineering becomes the key issue of service-oriented software engineering. Meantime, it reduces the degree of difficulty of software production, which facilitates end-users to customize software according to their personalized requirements. The paper proposes a method for service-oriented personalized requirements analysis, which is based on domain goal model and process model. The method can inform users of potential errors in requirements by detecting the correctness of requirements, which is driven by users’ personalized operations on goal models, and customize personalized processes to satisfy users’ requirements by reusing domain processes. The personalized processes are the basis for Web service discovery and composition.
