基于用户画像的数字化阅读推广平台设计

Design of Digital Reading Promotion Platform Based on User Portrait

为进一步优化数字化阅读的推广效果,设计基于用户画像的数字化阅读推广平台。从信息层、数据处理层和推广层3个方面设计数字化阅读推广平台总体架构,利用爬虫原理设计数字化阅读文本采集器,结合数字化阅读推广器的设计完成平台的硬件设计;通过构建用户画像,利用自适应学习算法设计数字化阅读推广算法,完成平台的软件设计。平台性能测试结果表明,基于用户画像的数字化阅读推广平台推广路径完成度高于0.8,召回率可以达到85%以上。由此验证了设计平台在功能上可以满足设计要求,还可以通过提高数字化阅读推广的成功率和精度满足性能设计要求。

In order to further optimize the promotion effect of digital reading, a digital reading promotion platform based on user portrait is designed. The overall architecture of the digital reading promotion platform is designed from three aspects: information layer, data processing layer and promotion layer. The digital reading text collector is designed by using the crawler principle. Combined with the design of the digital reading promoter,the hardware design of the platform is completed;through the construction of user portrait, the digital reading promotion algorithm is designed by using adaptive learning algorithm, and the so?tware design of the platform is completed. The platform performance test results show that the completion degree of the promotion path of the digital reading promotion platform based on user portrait is higher than 0.8, and the recall rate can reach more than 85%. This proves that the designed platform can meet the design requirements in function, and can also meet the performance design requirements by improving the success rate and accuracy of digital reading promotion.