摘要
信息精准投放系统在获取用户访问轨迹时常常面临数据采集的困难、用户偏好难以识别的问题,为此,文中提出一种信息精准投放系统的设计。该系统通过第三方http请求的方式获取用户访问轨迹数据,并通过欧几里得距离的计算实现用户偏好与信息资料之间的准确匹配,从而实现信息精确投放的目标。实验证明,该系统在较大用户基数的网络环境中用户偏好识别的准确度较高,并且具有较好的用户访问轨迹的跟踪性能。
The information accurate delivery system often faces difficulties in data collection and user preferences when acquiring user access trajectories.Therefore,an accurate information delivery system is designed.The system obtains user access trajectory data through a third-party http request,and uses Euclidean distance calculation to accurately match user preferences and information,thereby achieving the goal of accurate information delivery.Experiments show that the system can accurately identify user preferences in a network environment with a large user base,and has better tracking performance for user access trajectories.
作者
李晓蕾
王英涛
许国伟
武柯
LI Xiao-lei;WANG Ying-tao;XU Guo-wei;WU Ke(State Grid Henan Electric Power Company,Zhengzhou 450000,China;State Grid Corporation of China,Beijing 100000,China;Henan Jiuyu Tenglong Information Engineering Co.,Ltd.,Zhengzhou 450000,China)
出处
《信息技术》
2020年第7期58-61,共4页
Information Technology
基金
国网河南省电力公司科技项目资助(52170217001H)。
关键词
访问轨迹
信息投放
内容推荐
access track
information delivery
content recommendation
