Information Filtering Model And Design Based On Mobile Network

With the continuous development of Internet technology, especially in recent years, the rapid evolution of the mobile Internet, the growing popularity of smart terminals, iterative innovative service model, the mobile Internet industry is growing at an unprecedented rate.It bring us a rise of efficient and convenient, but also generate a lot of negative impact.Especially for the growing of bad and the rapid spread information, relevant to the network supervision work departments, brought a lot problems and difficulties.Based on these issue, designed in this paper information filtering model based on mobile network and a more detailed discussion of the method of the model technology, in particular research work mainly in the following areas:1.Describe Internet information security and filtering techniques in details, including filtering technology based on URL, filtering techniques based on keywords and patterns, Chinese Web content filtering technology and image filtering technology, and introduce their development as well as advantages and disadvantages.2.The information filtering model was designed based on the mobile network, and to the model of the feedback learning modules conducted in-depth research.3.Design the Chinese word segmentation module, feature extraction algorithm module, weight calculation module, the user needs and threshold value initialization module for the model.4. From the recall rate, precision ratio, the correct rate other aspects, through simulation experiments on the effectiveness of the design of the filtration the model was validated.