RANKING CONTENT ITEMS USING PREDICTED PERFORMANCE
    11.
    发明申请
    RANKING CONTENT ITEMS USING PREDICTED PERFORMANCE 有权
    使用预测性能排列内容项

    公开(公告)号:US20150046467A1

    公开(公告)日:2015-02-12

    申请号:US13963242

    申请日:2013-08-09

    Applicant: GOOGLE INC.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for ranking content items. In one aspect, a method includes identifying, for a content item, a bid value specifying an amount a content item provider is willing to pay for user interaction with the content item. A predicted performance measure is identified for the content item. The predicted performance measure is adjusted based on a weighting factor for the content item. The weighting factor for the content item is indicative of confidence that the predicted performance measure will match an actual performance measure for the content item and can be different than a weighting factor for another content item identified for inclusion in a ranking with the content item. A rank score is determined for the content item using the bid value and adjusted predicted performance measure. The content item is provided based on the rank score.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于对内容项进行排名。 一方面,一种方法包括为内容项目识别指定内容项目提供者愿意为与用户与内容项目进行交互而付费的金额的出价值。 为内容项目确定预测的性能度量。 基于内容项的加权因子来调整预测的性能度量。 内容项的加权因子表示预测的性能测量值与内容项目的实际性能测量值相一致的可信度,并且可以不同于被标识为包含在与内容项目的排名中的另一内容项目的加权因子。 使用出价值和​​经调整的预测绩效度量来确定内容项的排名得分。 内容项目是根据排名得分提供的。

    CONTENT DISTRIBUTION THROUGH AN EXCHANGE
    12.
    发明申请
    CONTENT DISTRIBUTION THROUGH AN EXCHANGE 审中-公开
    通过交换内容分配

    公开(公告)号:US20150006300A1

    公开(公告)日:2015-01-01

    申请号:US13930067

    申请日:2013-06-28

    Applicant: Google Inc.

    Inventor: Patrick Hummel

    CPC classification number: G06Q30/0275

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content through an exchange are disclosed. In one aspect, a method includes submission of a first bid to a content item selection process and receiving a request for one or more content items based on the first bid. A minimum price is determined based on a second bid that was submitted to the content item selection process by another entity. A set of content items having bids that meet the minimum price are identified, and a configuration of one or more content items that provides a threshold efficiency is identified. For each particular content item in the configuration of content items, a price that will be paid for distribution of the particular content item in the configuration is determined, and the price for at least one particular content item meets the minimum price.

    Abstract translation: 公开了包括在计算机存储介质上编码的用于通过交换机分发内容的计算机程序的方法,系统和装置。 一方面,一种方法包括向内容项目选择处理提交第一投标,并基于第一投标接收对一个或多个内容项目的请求。 最低价格是根据另一个实体提交给内容选择过程的第二个投标来确定的。 识别具有满足最低价格的出价的一组内容项目,并且识别提供阈值效率的一个或多个内容项目的配置。 对于内容项目的配置中的每个特定内容项目,确定将在配置中分配特定内容项目的费用,并且至少一个特定内容项目的价格满足最低价格。

    Reputation Systems in Ride Share Platforms
    13.
    发明申请

    公开(公告)号:US20170200321A1

    公开(公告)日:2017-07-13

    申请号:US14990036

    申请日:2016-01-07

    Applicant: Google Inc.

    Abstract: Systems and methods for implementing a ride share platform are provided. One example method includes obtaining a passenger reputation score associated with a passenger requesting a ride. The method includes determining a ride price for the requested ride based at least in part on the passenger reputation score. One example system includes one or more dispatch server computing devices that adjust a base compensation for a candidate driver to provide a ride to a passenger based at least in part on a driver reputation score. The example system communicates an offer to a mobile computing device operated by the candidate driver. The offer enables the candidate driver to assent to or decline to provide the ride to the passenger for the adjusted compensation. Another example system determines a priority order for offering candidate drivers based on value indices that have been adjusted according to candidate driver reputation.

    SYSTEMS AND METHODS FOR SETTING ALLOCATIONS AND PRICES FOR CONTENT IN AN ONLINE MARKETPLACE
    14.
    发明申请
    SYSTEMS AND METHODS FOR SETTING ALLOCATIONS AND PRICES FOR CONTENT IN AN ONLINE MARKETPLACE 审中-公开
    用于确定在线市场内容的分配和价格的系统和方法

    公开(公告)号:US20170061515A1

    公开(公告)日:2017-03-02

    申请号:US14834016

    申请日:2015-08-24

    Applicant: Google Inc.

    Inventor: Patrick Hummel

    CPC classification number: G06Q30/0625 G06F16/248 G06F16/9535 G06Q30/0641

    Abstract: Systems and methods of the present disclosure are directed to dynamically allocating content in an interface. Search results including first and second applications are identified responsive to a search query input into an interface of an online electronic application marketplace. A first value generated by displaying the first electronic application in a first slot available on the interface is determined. The first value is based on historical monetization generated from the first electronic application. A first candidate content item is identified for display with the search results. A second value generated by displaying the first candidate content item in the first slot is determined. Based on a comparison of the first value and the second value, the first electronic application is selected for display via the first slot of the interface and the candidate content item is selected for display via a second slot of the interface.

    Abstract translation: 本公开的系统和方法旨在在接口中动态地分配内容。 包括第一和第二应用的搜索结果是响应于输入到在线电子应用市场的接口中的搜索查询来确定的。 确定通过在接口上可用的第一时隙中显示第一电子应用程序而生成的第一值。 第一个价值是基于从第一个电子应用程序生成的历史获利。 识别第一候选内容项目以与搜索结果一起显示。 确定通过在第一时隙中显示第一候选内容项产生的第二值。 基于第一值和第二值的比较,选择第一电子应用程序以经由接口的第一时隙显示,并且通过接口的第二时隙选择候选内容项目进行显示。

    Incentivizing Advertiser Networks to Submit Multiple Bids
    15.
    发明申请
    Incentivizing Advertiser Networks to Submit Multiple Bids 审中-公开
    激励广告客户网络提交多个出价

    公开(公告)号:US20170024758A1

    公开(公告)日:2017-01-26

    申请号:US13887002

    申请日:2013-05-03

    Applicant: Google Inc.

    CPC classification number: G06Q30/0226

    Abstract: This specification describes technologies relating to content presentation. In general, a computer-implemented system and method is disclosed for providing an incentive to a content provider network to submit multiple bids. One or more processors executing code receive from a computing device associated with a first content provider network a first bid and a second bid. A third bid is received from a computing device associated with a second content provider network. The first bid is determined to be a winning bid based on the first bid being higher than the second bid and the third bid. A first calculation is made of a first amount to charge a first content provider associated with the winning bid, wherein the first amount is less than the amount of the first bid. A second calculation is made of a second amount to pay the first content provider network for providing the first bid and the second bid, wherein the second amount is less than the first amount.

    Abstract translation: 本说明书描述了与内容呈现有关的技术。 通常,公开了一种计算机实现的系统和方法,用于向内容提供商网络提供激励以提交多个投标。 执行代码的一个或多个处理器从与第一内容提供商网络相关联的计算设备接收第一投标和第二投标。 从与第二内容提供商网络相关联的计算设备接收第三投标。 第一个出价被确定为基于第一个出价高于第二个投标和第三个投标的中标。 首先计算用于对与中标投标相关联的第一内容提供商进行收费的第一金额,其中第一金额小于第一投标金额。 进行第二次计算,以支付第一内容提供商网络以提供第一投标和第二投标的第二数量,其中第二数量小于第一数量。

    THROTTLING CONTENT
    16.
    发明申请
    THROTTLING CONTENT 审中-公开
    曲折内容

    公开(公告)号:US20150379566A1

    公开(公告)日:2015-12-31

    申请号:US14314390

    申请日:2014-06-25

    Applicant: Google Inc.

    Inventor: Patrick Hummel

    CPC classification number: G06Q30/0254 G06Q30/0275

    Abstract: An example process includes determining a first quality metric that is indicative of a quality of an opportunity for distribution of content from a content provider as compared to other content providers, where the first quality metric is based on a first predicted access rate and a second predicted access rate, where the first predicted access rate is based on features that are dependent on the content provider, and where the second predicted access rate is based on features that are independent of the content provider. The example process also includes determining a second quality metric that is based on the first predicted access rate of the content; determining, a weight to apply to the first quality metric and to the second quality metric; and determining a weighted average of the first quality metric and the second quality metric that is based on the weight.

    Abstract translation: 示例性过程包括确定与其他内容提供商相比,其中第一质量度量基于第一预测访问速率和第二预测的第二预测访问速率来确定指示来自内容提供商的内容分发机会的质量的第一质量度量 访问速率,其中第一预测访问速率基于取决于内容提供商的特征,以及第二预测访问速率基于独立于内容提供商的特征。 该示例过程还包括确定基于内容的第一预测访问速率的第二质量度量; 确定应用于所述第一质量度量和所述第二质量度量的权重; 以及基于所述权重确定所述第一质量度量和所述第二质量度量的加权平均值。

    DETERMINING A PRICE ASSOCIATED WITH A WINNING BID
    17.
    发明申请
    DETERMINING A PRICE ASSOCIATED WITH A WINNING BID 审中-公开
    确定与获胜的投标相关的价格

    公开(公告)号:US20150039459A1

    公开(公告)日:2015-02-05

    申请号:US13958921

    申请日:2013-08-05

    Applicant: Google Inc.

    Inventor: Patrick Hummel

    CPC classification number: G06Q30/08

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for determining bid prices for content items. A winner associated with an auction is identified for delivery of a content item, including identifying a first bid associated with the winner and an associated first expected clickthrough rate. A next finisher is identified in the auction including identifying a second bid associated with the next finisher and a second expected clickthrough rate associated with second bid. A price is determined that a content sponsor associated with the winner should pay for presentation of the content item, including identifying a third bid and corresponding third expected clickthrough rate dependent on the third bid whose product, being the first product, is substantially equal to a product, being the second product, of the second bid and the second expected clickthrough rate. The content sponsor is charged the price.

    Abstract translation: 方法,系统和装置包括在计算机可读存储介质上编码的计算机程序,包括用于确定内容项的投标价格的方法。 识别与拍卖相关联的获胜者用于递送内容项目,包括识别与获胜者相关联的第一投标和相关联的第一预期点击率。 在拍卖中识别下一个完成者,其中包括识别与下一个完成者相关联的第二投标和与第二投标相关联的第二预期点击率。 确定与获胜者相关联的内容赞助商应该支付内容项目的呈现的价格,包括识别第三个出价以及取决于第三个投标的相应的第三预期点击率,其第一个产品的产品基本上等于 产品,第二个产品,第二个出价和第二个预期点击率。 内容发起人收取费用。

    PREDICTING PERFORMANCE OF CONTENT ITEMS USING LOSS FUNCTIONS
    18.
    发明申请
    PREDICTING PERFORMANCE OF CONTENT ITEMS USING LOSS FUNCTIONS 审中-公开
    使用损失函数预测内容项目的性能

    公开(公告)号:US20140372202A1

    公开(公告)日:2014-12-18

    申请号:US13919600

    申请日:2013-06-17

    Applicant: Google Inc.

    CPC classification number: G06Q30/0242 G06Q30/0273

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a content item. In one aspect, a method includes receiving a content item request. A set of candidate content items that are eligible to be provided in response to the content item request is identified. A performance measure is predicted for each candidate content item based at least in part on a loss function that specifies an economic cost of incorrectly predicting the performance measure for the candidate content item. The loss function can be based in part on a distribution of competing bid values for a set of previous content item impressions. A candidate content item can be selected for presentation based on the predicted performance measure for the candidate content items. The selected candidate content item is provided in response to the content item request.

    Abstract translation: 方法,系统和装置,包括在计算机存储介质上编码的用于提供内容项的计算机程序。 一方面,一种方法包括接收内容项请求。 识别符合为响应于内容项目请求而被提供的一组候选内容项目。 至少部分地基于指定错误地预测候选内容项的性能测量的经济成本的损失函数来预测每个候选内容项的性能度量。 损失函数可以部分地基于一组先前内容项目展示的竞争出价值的分布。 可以基于候选内容项目的预测性能测量来选择候选内容项目以用于呈现。 响应于内容项请求提供所选候选内容项。

    Performance based content item ranking

    公开(公告)号:US09996851B1

    公开(公告)日:2018-06-12

    申请号:US14171150

    申请日:2014-02-03

    Applicant: Google Inc.

    CPC classification number: G06Q30/0242

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content items are disclosed. In one aspect, a method includes accessing a scaling factor value and accessing a first page value range specifying at least a high page value and a low page value. A determination is made that a first ranking of content items based on the high page value does not match a second ranking of the content items that is based on the low page value. In response to determining that the first ranking does not match the second ranking, an updated first ranking and an updated second ranking are determined based on a second page value range. A determination is made that the updated first ranking matches the updated second ranking. Content items are distributed based on the updated first ranking.

    OPTIMIZED MACHINE LEARNING SYSTEM
    20.
    发明申请

    公开(公告)号:US20180046940A1

    公开(公告)日:2018-02-15

    申请号:US15352318

    申请日:2016-11-15

    Applicant: Google Inc.

    CPC classification number: G06N20/00

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing machine learning systems. In one aspect a method includes determining an average error of a machine learning system (“MLS”). An evaluation function that provides a result that would have been achieved using a specified value of a given parameter is defined. An expected outcome function that provides expected results for prior events based on the error of the MLS is defined. For each of multiple prior events, a target value of the given parameter is determined, e.g., using the expected outcome function. A model is generated using the MLS based on features of the prior events and the determined target values of the given parameter for the prior events. A value is assigned to the given parameter for a new event based on application of the model to features of the new event.

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