发明名称 PREDICTING A CONSUMER SELECTION PREFERENCE BASED ON ESTIMATED PREFERENCE AND ENVIRONMENTAL DEPENDENCE
摘要 An information processing apparatus includes a history acquisition section configured to acquire history data including a history indicating that a plurality of selection subjects have selected selection objects; a learning processing section configured to allow a choice model to learn a preference of each selection subject for a feature and an environmental dependence of selection of each selection object in each selection environment using the history data, where the choice model uses a feature value possessed by each selection object, the preference of each selection subject for the feature, and the environmental dependence indicative of ease of selection of each selection object in each of a plurality of selection environments to calculate a selectability with which each of the plurality of selection subjects selects each selection object; and an output section configured to output results of learning by the learning processing section.
申请公布号 US2016098648(A1) 申请公布日期 2016.04.07
申请号 US201514967642 申请日期 2015.12.14
申请人 International Business Machines Corporation 发明人 Katsuki Takayuki;Osogami Takayuki
分类号 G06N99/00 主分类号 G06N99/00
代理机构 代理人
主权项 1. An information processing method executed by a computer, the method comprising: acquiring a feature value for a feature possessed by each of a plurality of selection objects; acquiring history data including a history indicating that a plurality of selection subjects have selected selection objects; learning processing by allowing a choice model to learn a preference of each selection subject for a feature and an environmental dependence of selection of each selection object in each selection environment using the history data, where the choice model uses a feature value for each selection object, the preference of each selection subject for the feature, and the environmental dependence indicative of ease of selection of each selection object in each of a plurality of selection environments to calculate a selectability with which each of the plurality of selection subjects selects each selection object; and outputting learning results obtained in the learning processing.
地址 Armonk NY US