发明名称 |
USER FEATURE IDENTIFICATION METHOD AND APPARATUS |
摘要 |
A method and an apparatus of identifying a user feature include: in response to receiving a designated evaluation of an interacting party in a service interaction, determining a reliability value of the designated evaluation of the interacting party based on a feature value of the service interaction; based on reliability values of multiple designated evaluations of the interacting party in multiple service interactions including the designated evaluation, determining a reliability mean value of the multiple designated evaluations; determining a reliability weighted mean value of the multiple designated evaluations based on a frequency weight corresponding to the multiple designated evaluations and the reliability mean value, wherein a number of the multiple designated evaluations is in a monotonically incremental or decremental relationship with the corresponding frequency weight; determining a user feature of the interacting party based on a size relationship between the reliability weighted mean value and a preset reliability threshold. Using the solution provided in the embodiment of the present disclosure can improve the accuracy of determining a user feature of an interacting party in a service interaction. |
申请公布号 |
US2015112920(A1) |
申请公布日期 |
2015.04.23 |
申请号 |
US201414515885 |
申请日期 |
2014.10.16 |
申请人 |
Alibaba Group Holding Limited |
发明人 |
Ou Zhou |
分类号 |
G06N7/00 |
主分类号 |
G06N7/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
determining a reliability value of a designated evaluation of an interacting party based on a feature value of a service interaction in response to receiving the designated evaluation of the interacting party in the service interaction; determining a reliability mean value of multiple designated evaluations based on reliability values of the multiple designated evaluations of the interacting party in multiple service interactions including the designated evaluation; determining a reliability weighted mean value of the multiple designated evaluations based on a frequency weight corresponding to the multiple designated evaluations and the reliability mean value, wherein a number of the multiple designated evaluations is in a monotonically incremental or decremental relationship with the frequency weight; determining a user feature of the interacting party based on a size relationship between the reliability weighted mean value and a preset reliability threshold. |
地址 |
Grand Cayman KY |