公开(公告)号：US20120016642A1

公开(公告)日：2012-01-19

申请号：US12836188

申请日：2010-07-14

申请人： Lihong Li ,  Wei Chu ,  John Langford ,  Robert Schapire

发明人： Lihong Li ,  Wei Chu ,  John Langford ,  Robert Schapire

IPC分类号： G06F17/10 ,  G06F15/173

CPC分类号： G06Q30/0255 ,  G06Q30/02 ,  G06Q30/0269

摘要： Methods and apparatus for performing computer-implemented personalized recommendations are disclosed. User information pertaining to a plurality of features of a plurality of users may be obtained. In addition, item information pertaining to a plurality of features of the plurality of items may be obtained. A plurality of sets of coefficients of a linear model may be obtained based at least in part on the user information and/or the item information such that each of the plurality of sets of coefficients corresponds to a different one of a plurality of items, where each of the plurality of sets of coefficients includes a plurality of coefficients, each of the plurality of coefficients corresponding to one of the plurality of features. In addition, at least one of the plurality of coefficients may be shared among the plurality of sets of coefficients for the plurality of items. Each of a plurality of scores for a user may be calculated using the linear model based at least in part upon a corresponding one of the plurality of sets of coefficients associated with a corresponding one of the plurality of items, where each of the plurality of scores indicates a level of interest in a corresponding one of a plurality of items. A plurality of confidence intervals may be ascertained, each of the plurality of confidence intervals indicating a range representing a level of confidence in a corresponding one of the plurality of scores associated with a corresponding one of the plurality of items. One of the plurality of items for which a sum of a corresponding one of the plurality of scores and a corresponding one of the plurality of confidence intervals is highest may be recommended.

摘要翻译： 公开了用于执行计算机实现的个性化推荐的方法和装置。 可以获得与多个用户的多个特征有关的用户信息。 此外，可以获得与多个项目的多个特征有关的项目信息。 可以至少部分地基于用户信息和/或项目信息来获得线性模型的多组系数，使得多个系数集合中的每一个对应于多个项目中的不同项目，其中 所述多个系数集合中的每一个包括多个系数，所述多个系数中的每一个对应于所述多个特征中的一个。 此外，可以在多个项目的多个系数集合中共享多个系数中的至少一个。 可以使用线性模型来计算用户的多个评分中的每一个，至少部分地基于与多个项目中的相应一个项目相关联的多个系数集合中的对应的一组，其中多个分数中的每一个 表示多个项目中相应的一个项目的兴趣程度。 可以确定多个置信区间，所述多个置信区间中的每一个表示表示与所述多个项目中的对应的一个项目相关联的所述多个分数中的对应的一个分数中的置信水平的范围。 可以推荐多个评分中的相应一个分数和多个置信区间中的相应一个的最大值的多个项目中的一个。