基于推荐技术的个性化信息助手的改良

摘要

ln this paper,according to the defects of existing information assistant,the introduction of personalized recom-mendation technology.After the original data obtained from the website,the obtained data are processed by the col aborative filtering recommendation subsystem or the content-based recommendation subsystem.By constructing the model,calculating the similarity and forming the recommendation,to realize the integration of information and personalized recommendation.%根据现有信息助手所存在的缺陷，引入个性化推荐技术。从网站获取的原始数据后，所得到的数据分别通过协同过滤推荐子系统和基于内容推荐子系统进行处理。通过构建模型、计算相似度并形成推荐，从而实现信息的整合以及个性化推荐。