摘要
受到用户类型繁多且数量庞大的影响,在设计促销信息个性化推送方法时,容易出现因用户特征提取捕捉不精准导致推送内容不准确的情况,因此,提出基于动态用户画像的促销信息个性化推送方法。对海量的用户行为数据进行格式化处理,确保数据的准确性和可用性;在动态用户画像的框架内,捕捉多个用户行为特征;针对采集到的促销信息,进行了细致的分类处理,以便更好地理解和提取促销信息的核心特征;通过计算促销信息特征与用户行为特征的匹配度,确保推送的精准性;此外,结合用户对不同促销信息的实际偏好度,构建了个性化的推送函数,动态地调整推送策略,以满足用户的个性化需求。在实验测试中,所提方法的用户转化率高于95%,在实际应用中推送准确度较高。
Due to the diverse and numerous types of users,it is easy to encounter inaccurate push content caused by inac-curate user feature extraction when designing personalized promotion information push methods.Therefore,a personal-ized promotion information push method based on dynamic user profiles is proposed.In the study,massive user behavior data is formatted to ensure accuracy and availability;multiple user behavior characteristics is captured within the frame-work of dynamic user profiling;detailed classification processing on the collected promotional information is conducted in order to better understand and extract the core features of the promotional information;by calculating the matching de-gree between promotional information characteristics and user behavior characteristics,the accuracy of push notifications is ensured.Moreover,based on the actual preferences of users for different promotional information,a personalized push function is constructed to dynamically adjust the push strategy to meet the personalized needs of users.In the experimen-tal testing,the user conversion percentage of the proposed method is higher than 0.95,indicating high accuracy in practical applications.
作者
张欣
ZHANG Xin(Department of Economics and Management,Suzhou Vocational and Technical College,Suzhou 234000,Anhui,China)
出处
《西昌学院学报(自然科学版)》
2025年第1期68-76,共9页
Journal of Xichang University(Natural Science Edition)
基金
2024年安徽省教育厅人文社科重点项目(2024AH053389)
安徽省教育厅质量工程项目(2023cxtd224)
安徽省教育厅拔尖人才项目(DTR2024077)。
关键词
动态用户画像
促销信息
个性化推送
信息推送
推送方法
dynamic user profile
promotion information
personalized push
information push
push method
作者简介
张欣(1982-),女,安徽淮北人,副教授,硕士,研究方向:电子商务、网络营销,e-mail:hxbwdd@163.com。
