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一种基于兴趣点转移的轻量级自适应推送模型

发表时间:2014-02-28  浏览量:1932  下载量:755
全部作者: 张建飞,章昭辉,李波
作者单位: 安徽师范大学数学计算机科学学院;同济大学嵌入式系统与服务计算教育部重点实验室
摘 要: 针对论文结构特点及对论文快速共享的需求,提出一种基于兴趣点转移的轻量级自适应论文推送模型。模型先定义用户的兴趣点树,采用填表的方法建立用户兴趣点树,在兴趣点树上加入时间因子,以解决用户兴趣转移的问题;再通过挖掘用户阅读行为,不断修正用户的兴趣点树;在推送阶段采用混合过滤算法推送结果。将此模型应用于中国科技论文在线手持终端服务示范平台,并与基于教育背景的协同过滤模型进行推送对比实验,结果表明该模型能有效满足个性化论文快速共享的需求。
关 键 词: 计算机应用;自适应推送;兴趣点;轻量级模型;混合推送
Title: A lightweight adaptive push model based on transmission for point of interest
Author: ZHANG Jianfei, ZHANG Zhaohui, LI Bo
Organization: School of Mathematics & Computer Science, Anhui Normal University; The Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University
Abstract: According to the paper structure characters and the requirement of paper rapid sharing, this paper proposes a lightweight adaptive push model based on the transmission for points of interest. The model defines the user's point of interest tree to solve the problem of the migration of user interest by filling interest points and adding time factor into the tree. By mining the user reading behaviors, the model constantly revises user's point of interest tree. At the pushing stage, the hybrid filtering pushing algorithm is used to push mixed results. This model is applied to the demonstration platform of Chinese Science Paper Online on handheld terminal services. And by the comparison with the collaborative filtering model based on educational background, the experiments show that the model can effectively meet the needs of personalized paper rapid sharing.
Key words: computer application; adaptive push; point of interest; lightweight model; hybrid push
发表期数: 2014年2月第4期
引用格式: 张建飞,章昭辉,李波. 一种基于兴趣点转移的轻量级自适应推送模型[J]. 中国科技论文在线精品论文,2014,7(4):345-350.
 
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