公开(公告)号：US11468472B2

公开(公告)日：2022-10-11

申请号：US15442434

申请日：2017-02-24

申请人： FAIR ISAAC CORPORATION

发明人： Scott Michael Zoldi ,  Amit Kiran Sowani ,  Ujjwal Kumar ,  Sidakpreet Singh Chawla

IPC分类号： G06Q30/02

摘要： A system and method for scalable, adaptive, real-time generation of personalized offers is disclosed. A profile of a user is generated, the profile being a summarized representation of historical behavior of the user, the profile containing recursively updated variables. The profile is updated for each new transaction and/or a time dependent event, the new transaction and/or time dependent event including purchase transaction data, user, item hierarchy, and offer data. A affinity scores is generated for the user based on the updated profile, and for each new transaction, one or more offers are generated for the user based on the updated user profile and the affinity scores.

公开(公告)号：US20180197200A1

公开(公告)日：2018-07-12

申请号：US15442434

申请日：2017-02-24

申请人： FAIR ISAAC CORPORATION

发明人： Scott Michael Zoldi ,  Amit Kiran Sowani ,  Ujjwal Kumar ,  Sidakpreet Singh Chawla

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0255 ,  G06Q30/0269

摘要： A system and method for scalable, adaptive, real-time generation of personalized offers is disclosed. A profile of a user is generated, the profile being a summarized representation of historical behavior of the user, the profile containing recursively updated variables. The profile is updated for each new transaction and/or a time dependent event, the new transaction and/or time dependent event including purchase transaction data, user, item hierarchy, and offer data. A affinity scores is generated for the user based on the updated profile, and for each new transaction, one or more offers are generated for the user based on the updated user profile and the affinity scores.