SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR GEO-SPECIFIC VEHICLE PRICING
    1.
    发明公开
    SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR GEO-SPECIFIC VEHICLE PRICING 审中-公开
    SYSTEM,VERFAHREN UND COMPUTERPROGRAMMPRODUKTFÜRGEOSPEZIFISCHE FAHRZEUGPREISGESTALTUNG

    公开(公告)号:EP2710529A1

    公开(公告)日:2014-03-26

    申请号:EP12804247.0

    申请日:2012-06-26

    申请人: Truecar, Inc.

    IPC分类号: G06Q10/00

    摘要: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

    摘要翻译: 公开了通过地理特定模型来聚合和分析车辆价格的实施例。 数据可以在各种地理特定级别(例如ZIP-Code级别)收集以提供更大的数据分辨率。 考虑的数据集可以包括基于车辆交易的分界点数据集和数据集。 分界点数据集可能基于影响购车行为的消费者市场因素。 车辆交易​​可以分类为具有与车辆相似特征的其他车辆的数据集。 然后可以基于与特定车辆的类似特征将数据集合应用到地理特定的统计定价模型,以产生车辆的价格估计。

    SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR PREDICTING ITEM PREFERENCE USING REVENUE-WEIGHTED COLLABORATIVE FILTER
    2.
    发明公开
    SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR PREDICTING ITEM PREFERENCE USING REVENUE-WEIGHTED COLLABORATIVE FILTER 审中-公开
    系统中,预测了一个优先级收入物品的方法和计算机程序产品加权协同过滤

    公开(公告)号:EP2727054A1

    公开(公告)日:2014-05-07

    申请号:EP12803681.1

    申请日:2012-06-26

    申请人: TrueCar, Inc.

    IPC分类号: G06Q10/00

    摘要: Embodiments disclosed provide a system, method, and computer program product for identifying consumer items more likely to be bought by an individual user. In some embodiments, a collaborative filter may be used to rank items based on the degree to which they match user preferences. The collaborative filter may be hierarchical and may take various factors into consideration. Example factors may include the similarity among items based on observable features, a summary of aggregate online search behavior across multiple users, the item features determined to be most important to the individual user, and a baseline item against which a conditional probability of another item being selected is measured.

    摘要翻译: 实施方案中游离缺失盘辨识消费项目更容易被个人用户购买提供一个系统,方法和计算机程序产品。 在一些实施方案中,协同过滤器可以用来排名基于度项目,他们满足用户的偏好。 协同过滤器可能是分层的,可采取各种因素考虑在内。 实例因素可能包括基于观察到的功能项之间的相似性,在多个用户总在线搜索行为的总结,项目特点确定开采是最重要的是个人用户,并针对其基线项目的另一项目的条件概率是 选择的被测量。

    METHOD AND SYSTEM FOR SELECTION, FILTERING OR PRESENTATION OF AVAILABLE SALES OUTLETS
    3.
    发明公开
    METHOD AND SYSTEM FOR SELECTION, FILTERING OR PRESENTATION OF AVAILABLE SALES OUTLETS 审中-公开
    方法和系统,以选择销售交易过滤器或陈述可用

    公开(公告)号:EP2710542A1

    公开(公告)日:2014-03-26

    申请号:EP12808024.9

    申请日:2012-06-27

    申请人: Truecar, Inc.

    IPC分类号: G06Q30/02

    摘要: Embodiments disclosed herein provide systems and methods for the filtering, selection and presentation of vendors accounting for both user characteristics and vendor characteristics, such that the systems and methods may be used by both customer and vendor alike to better match customer needs with the resource-constrained vendors with whom a successful sale has a higher probability of occurring. Embodiments may include filtering, selecting and/or presenting vendors to a user sorted by the probability that the particular vendor will possess the characteristics that appeal to a particular customer and therefore result in a large probability of sale and suppress presentation of those vendors that are unlikely to be selected by the customer since their characteristics are less consistent with those needed by the customer and, therefore, are unlikely to result in a sale.