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Systems and Methods for Cold-start and Continuous-learning via Evolutionary Explorations

机译:通过进化探索进行冷启动和持续学习的系统和方法

摘要

Systems and methods for cold-start and continuous-learning via evolutionary explorations are provided. The system includes a database including serving data. A computer server is in communication with the database, the computer server is programmed to: obtain an advertisement opportunity including user data and page data; extract semantic features from the user data, the page data, and a campaign; determine a score that measures a similarity between the advertisement opportunity and the campaign using the semantic features; assign a set of weights to the semantic features when determining the score during a first time period; collect click data on the campaign while using the set of weights to run the campaign in the first time period; update the set of weights using the click data by minimizing a logistic loss function; and assign an updated set of weights to the semantic features during a second time period.
机译:提供了用于通过进化探索进行冷启动和连续学习的系统和方法。该系统包括数据库,该数据库包括服务数据。一计算机服务器与数据库通信,该计算机服务器被编程为:获得包括用户数据和页面数据的广告机会;以及从用户数据,页面数据和活动中提取语义特征;使用语义特征确定度量广告机会与活动之间相似度的分数;在确定第一时间段的分数时,为语义特征分配一组权重;在第一时间段内使用一组权重运行广告系列时,收集广告系列的点击数据;通过最小化逻辑损失函数,使用点击数据更新权重集;并在第二个时间段内为语义特征分配一组更新的权重。

著录项

  • 公开/公告号US2016260125A1

    专利类型

  • 公开/公告日2016-09-08

    原文格式PDF

  • 申请/专利权人 YAHOO! INC.;

    申请/专利号US201514640661

  • 发明设计人 JIAN XU;ZHONGHAO LU;

    申请日2015-03-06

  • 分类号G06Q30/02;

  • 国家 US

  • 入库时间 2022-08-21 14:33:26

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