The Research And Design Of Individualized Knowledge Push System In Enterprise Service Platform

With the development of times, the speed and scale of information collection and transmission reached unprecedented level. Facing the extremely expansion of information and the data of excess pressure, data mining technology provides positive support for quickly and accurately obtaining knowledge from the mass of information. Automated text classification for processing massive data is becoming increasingly important, which is also the key technology in the process and organization of large text data. The service for small and medium enterprises is mainly financing and credit guarantee, etc. The public service system for enterprises, which can integrate advantage resources of science and technology by making full use of the information network, has not been established. In this paper, an individualized knowledge push system which is used in technology transfer services based on data mining technology can promote the relevance and accuracy of information services and the enterprise innovation development.This topic comes from cooperation projects with a research center and mainly completes the following work:1. introduce the purpose and meaning of enterprise service platform, analyze the architecture, topology and function of the service platform, discuss the principle and work flow of the system, expound difficulties of the implementation of related technology.2. According to the technical difficulties of the realization, improve the design of search engine for unstructured information, design a content delivery and match system based on machine learning under enterprise technology transfer services requirements.3. For data in technology transfer service process, compares the differences between several of classifier algorithms and feature selection methods, according to the training results choose the best classification model.4. Introduce the system application.