基于增量更新方法兴趣模型研究  

Research of a Method of Incremental Update for Interest Mode

作　　者：王颖舒[1] 夏春燕 胡航宇[3] 左宇[1] 刘晴 韦倩 

机构地区：[1]贵州电网责任有限公司贵阳供电局 [2]西南技术物理研究所 [3]电子科技大学

出　　处：《信息技术与标准化》2020年第10期69-73,共5页Information Technology & Standardization

摘　　要：为满足教育培训场景下快速匹配学员与课程课件的需求,提出了一种面向用户兴趣的多维模型,并采用增量数据实现模型更新的方法。该方法依照算法规则,存储生成用户兴趣模型的多个版本,并将最新版本应用于用户兴趣模型的更新计算中,从而尽可能避免重复计算,大幅减少计算量,提升算法效率。采用该方法能够提升兴趣模型的更新速度,建立更加智能化的用户兴趣模型动态管理能力。In order to meet the needs of fast matching students and course courseware under the education and training scene,a multidimensional model of user interest is proposed in this article.Incremental data is used to update the model by using the smart algorithm.According to the algorithm rules,system generates various model versions.The latest version will be used in the subsequent model calculation.So as to avoid double calculation as much as possible,greatly reduce the amount of calculation,improve the efficiency of the algorithm.This method can improve the updating speed of interest model and establish more intelligent dynamic management ability of user interest model.

关 键 词：用户兴趣模型 增量模型更新 兴趣模型动态管理 

分 类 号：G434[文化科学—教育学]