融合朴素贝叶斯和偏好程度的学习资源数据实时推荐系统  

A Real-time Recommendation System for Learning Resource Data Integrating Naive Bayes and Preference Degree

作　　者：李忠森 LI Zhongsen(School of Information Engineering,Fujian Business University,Fuzhou Fujian 350506,China)

机构地区：[1]福建商学院信息工程学院,福建福州350506

出　　处：《长沙大学学报》2024年第2期9-14,共6页Journal of Changsha University

摘　　要：在数字化学习资源的建设和应用过程中,内容特征动态变化明显,推荐系统很难保证实时准确地向用户推荐需要的数据。针对这一情况,提出融合朴素贝叶斯和偏好程度的学习资源数据实时推荐系统。在硬件设计上,根据移动终端的使用特点,设计视频资源采集与传输模块,语音输入输出及音频处理模块,为用户提供多样化的资源和资源检索路径。在软件设计上,依据用户的学习资源信息、交互信息和行为信息,构建学习资源关联模型,实现关联资源检索,与此同时,对学习资源分类并打分,利用目标函数获得打分结果,取高分资源并通过移动终端实现对用户的实时推荐。测试结果表明:设计系统推荐集排序准确率在90%以上,且推荐命中率高,该系统在实际项目中具有较高的实用性。In the construction and application of digital learning resources,the dynamic changes in content characteristics are significant,making it difficult for recommendation systems to ensure real-time and accurate recommendation of the required data to users.In response to this situation,a real-time recommendation system for learning resource data is proposed that integrates Naive Bayes and preference degree.In terms of hardware design,based on the usage characteristics of mobile terminals,we design video resource acquisition and transmission modules,voice input and output,and audio processing modules to provide users with diverse resources and resource retrieval paths.In software design,based on the user’s learning resource information,interaction information and behavior information,a learning resource association model is constructed to achieve associated resource retrieval.At the same time,learning resources are classified and scored,and the scoring results are obtained using the objective function.High-scoring resources are selected and real-time recommendations are made to users through mobile terminals.The test results show that the sorting accuracy of the recommendation set in the design system is over 90%,and the hit rate of the recommendation results is high.This system has high practicality in practical projects.

关 键 词：朴素贝叶斯 偏好程度 学习资源 实时推荐 数据采集与传输 资源检索 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]