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METHOD, PROGRAM, SERVER DEVICE, AND PROCESSOR FOR GENERATING PREDICTIVE MODEL OF CATEGORY OF VENUE VISITED BY USER

机译:用于生成用户访问的地点类别的预测模型的方法,程序,服务器设备和处理器

摘要

PROBLEM TO BE SOLVED: To provide a method, a program, a server device, and a processor for generating a predictive model of categories of venues visited by a user.SOLUTION: A method may include extracting a first content feature from a first digital post to an online social media platform selected from a plurality of digital posts, extracting a second content feature from a second digital post to an online social media platform selected from the plurality of digital posts, aggregating the first and second content features, inferring at least one of a frequency and a regularity of visits to a venue category associated with the plurality of digital posts based on the aggregated first and second content features using a neural network, and determining at least one of a frequently visited venue category and a regularly visited venue category based on the inferred frequency and regularity of visits associated with the plurality of digital posts.SELECTED DRAWING: Figure 1
机译:解决的问题:提供一种用于生成用户访问的场所类别的预测模型的方法,程序,服务器设备和处理器。解决方案:一种方法可以包括从第一数字帖子中提取第一内容特征。从多个数字帖子中选择的在线社交媒体平台,从第二数字帖子中提取第二内容特征到从多个数字帖子中选择的在线社交媒体平台,汇总第一和第二内容特征,推断出至少一个使用神经网络基于聚集的第一和第二内容特征访问与多个数字帖子关联的场所类别的频率和规律性,并确定经常访问的场所类别和定期访问的场所类别中的至少一个基于推断的与多个数字帖子相关的访问的频率和规律性。选定的图:图1

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