发明名称 Systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items
摘要 The disclosure herein provides systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items. A significant attributes system for identifying and presenting identifications of significant attributes of unique items comprises an item analysis engine, at least one driver models database, and a model building engine, wherein the item analysis engine comprises an item description receiver and one or more driver calculators.
申请公布号 US9465873(B1) 申请公布日期 2016.10.11
申请号 US201313924375 申请日期 2013.06.21
申请人 Vast.com, Inc. 发明人 Franke David Wayne;Wilbur Thomas Wyatt
分类号 G06Q10/00;G06F17/30 主分类号 G06Q10/00
代理机构 Knobbe Martens Olson & Bear LLP 代理人 Knobbe Martens Olson & Bear LLP
主权项 1. A significant attributes system for identifying and presenting identifications of significant attributes of unique items, the significant attributes system comprising: an item analysis engine configured to determine which of a plurality of attributes of a selected unique item are driver attributes, the plurality of attributes comprising at least a condition attribute and a feature attribute, the item analysis engine comprising: an item description receiver configured to electronically receive item data, the item data being related to the plurality of attributes of the selected unique item; andone or more driver calculators configured to apply one or more driver models to the plurality of attributes to identify which of the plurality of attributes of the selected unique item are driver attributes; wherein the item analysis engine is configured to electronically present the identification of which of the plurality of attributes of the selected unique item are driver attributes; at least one driver models database configured to electronically store information relating to the one or more driver models and to electronically communicate with the item analysis engine; a model building engine configured to generate the one or more driver models by applying one or more model specifications to data relating to user activity, wherein the one or more model specifications comprise instructions to generate a driver model using one or more of the following methods: linear regression, non-linear regression, model trees, nearest neighbor analysis, wherein the data relating to user activity comprises logged interactions of users with a plurality of unique items; a data collection engine configured to generate the data relating to user activity by electronically monitoring, over a computer network, user interactions with items displayed by user interfaces of a plurality of user devices, wherein the electronic monitoring comprises detecting a position of an item displayed by the user interface at a time of the user interaction, and the model building engine is further configured to use the detected positions to reduce any position bias present in the logged interactions of users; and one or more computers configured to operate the item analysis engine, wherein the one or more computers comprises a computer processor and an electronic storage medium.
地址 Austin TX US