首页> 外国专利> SYSTEM AND METHOD FOR PERSONALIZED PRODUCT RECOMMENDATION USING HIERARCHICAL BAYESIAN

SYSTEM AND METHOD FOR PERSONALIZED PRODUCT RECOMMENDATION USING HIERARCHICAL BAYESIAN

机译:基于分层贝叶斯算法的个性化产品推荐系统和方法

摘要

A method and system for product recommendation. The method includes: defining, by a computing device, a hierarchical Bayesian model having a latent factor; training, by the computing device, the hierarchical Bayesian model using a plurality of training events to obtain a trained hierarchical Bayesian model, each event comprising feature of a product, brand of the product, feature of a user, and action of the user upon the product; predicting, by the computing device, a possibility a target user performing an action on a target product using the trained hierarchical Bayesian model; and providing product recommendation to the target user based on the possibility.
机译:一种产品推荐的方法和系统。该方法包括:由计算设备定义具有潜在因子的分层贝叶斯模型;由计算设备使用多个训练事件来训练分层贝叶斯模型以获得训练后的分层贝叶斯模型,每个事件包括产品的特征,产品的品牌,用户的特征以及用户对该产品的动作。产品;由计算设备预测目标用户使用训练的分层贝叶斯模型对目标产品执行动作的可能性;并根据可能性向目标用户提供产品推荐。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号