发明名称 METHOD AND SYSTEM OF DETERMINING AN OPTIMAL VALUE OF AN AUCTION PARAMETER FOR A DIGITAL OBJECT
摘要 There is disclosed a method of determining an optimal value of an auction parameter for a digital object. The method comprises using: an indication of a digital object, an auction parameter associated with the digital object and an environment feature at the respective moment of time to execute an offline training of a machine learning algorithm to predict an optimal value of auction parameters for a plurality of digital objects, the plurality of digital objects being associated with the interaction history of the first portion of users. The method further comprises applying the machine learning algorithm to determine a first optimal value of an auction parameter for a plurality of digital objects associated with the second portion of users and using such determined value for determining a digital object being relevant to the request from a user from the second portion of users.
申请公布号 US2017103451(A1) 申请公布日期 2017.04.13
申请号 US201615276918 申请日期 2016.09.27
申请人 YANDEX EUROPE AG 发明人 ALIPOV Vyacheslav Vyacheslavovoich;GULIN Andrey Vladimirovich;MISHCHENKO Andrey Sergeevich
分类号 G06Q30/08;G06Q30/02 主分类号 G06Q30/08
代理机构 代理人
主权项 1. A method of determining an optimal value of an auction parameter for a digital object; the method executable at an auction server, associated with the storage; the auction server hosting an auction service, the method comprising: acquiring from a storage, interaction history data of a first portion of users of the auction service, and interaction history data of a second portion of users of the auction service; the interaction history data including, for each respective interaction, at least: an indication of a digital object, an auction parameter associated with the digital object and an environment feature at the respective moment of time of the respective interaction; based on the interaction history data associated with the first portion of users, executing an offline training of a machine learning algorithm to predict the optimal value of auction parameters for a plurality of digital objects, the plurality of digital objects being associated with the interaction history of the first portion of users; applying the machine learning algorithm to determine a first optimal value of an auction parameter for a plurality of digital objects associated with the second portion of users; storing the first optimal value of auction parameter for the plurality of digital objects; responsive to receiving a request to the auction service by the auction server, determining a digital object being relevant to the request;determining a user associated with the digital object; responsive to the user associated with the digital object being from the second portion of users, applying to the digital object the first optimal value of the auction parameter.
地址 Luzern CH