公开(公告)号：US20150310018A1

公开(公告)日：2015-10-29

申请号：US14344759

申请日：2013-03-15

Applicant: YAHOO! INC

Inventor： Xin Fan ,  Todd Beaupre ,  Jean-Marc Langlois

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30 ,  G06F17/30867

Abstract: A method for selecting a social media network user. The method comprises obtaining one or more parameters indicative of quality of social media network content from the social media network user, ranking the social media network user based on the one or more parameters, and determining whether the social media network user is selected based on the ranking.

Abstract translation: 一种用于选择社交媒体网络用户的方法。 该方法包括从社交媒体网络用户获取指示社交媒体网络内容的质量的一个或多个参数，基于一个或多个参数对社交媒体网络用户进行排名，以及基于该社交媒体网络用户是否选择社交媒体网络用户 排行。

公开(公告)号：US09171000B2

公开(公告)日：2015-10-27

申请号：US13833430

申请日：2013-03-15

Applicant: YAHOO! INC.

Inventor： Alyssa Glass ,  Xing Yi ,  Jean-Marc Langlois

IPC: G06N99/00 ,  G06F17/30 ,  G06Q30/02 ,  H04N21/442 ,  H04N21/466

CPC classification number: G06F17/30029 ,  G06F17/30867 ,  G06N99/005 ,  G06Q30/0282 ,  H04N21/44213 ,  H04N21/4668

Abstract: Method, system, and programs for identifying a target metric. In one example, at least one first type of metric computed based on a first period associated with a first length of time is measured for each of a plurality of users. At least one second type of metric computed based on a second period associated with a second length of time is measured for each of the plurality of users. The second length of time is larger than the first length of time. Correlations between each of the at least one first type of metric and each of the at least one second type of metrics are computed with respect to the plurality of users. A target metric is identified from the at least one first type of metric based on the correlations. The target metric is correlated with the at least one second type of metric.

Abstract translation: 用于识别目标度量的方法，系统和程序。 在一个示例中，针对多个用户中的每一个测量基于与第一时间长度相关联的第一周期计算的至少一种第一类型度量。 针对多个用户中的每一个测量与基于与第二时间长度相关联的第二周期计算的至少一个第二类型度量。 第二个时间长度大于第一个时间长度。 针对所述多个用户计算所述至少一个第一类型度量中的每一个和所述至少一个第二类型度量值中的每一个的相关性。 基于相关性从至少一种第一类型的度量标识目标度量。 目标度量与至少一种第二类型的度量相关联。

公开(公告)号：US20150278877A1

公开(公告)日：2015-10-01

申请号：US14242386

申请日：2014-04-01

Applicant: Yahoo! Inc.

Inventor： Xing Yi ,  Yan Jiao ,  Jean-Marc Langlois ,  Prabhakar Krishnamurthy

IPC: G06Q30/02

CPC classification number: G06Q30/0275

Abstract: A system for adjusting reserve price for impressions of non-guaranteed delivery (“NDG”) auctions includes a processor to retrieve a publishers' reserve price for an impression that is finable by eligible advertisements (“ads”) streamed to users in a display content stream; and to retrieve dwell time information for users that engage them. A data aggregator aggregates ads into different groups of different display and online campaign contexts. The system computes short-click ratios of ads in each ad group based on short-click threshold and user dwell time information. A statistical analyzer applies a statistical function to the dwell time information of the ads, to generate a dwell time statistic. A reserve price adjuster adjusts pricing of the reserve price of ad groups for bidding in the NGD auction based on the short-click ratio and the dwell time statistic, to favor ad groups having higher dwell times and lower short-click ratios.

Abstract translation: 用于调整不保证交货（“NDG”）拍卖的展示的预留价格的系统包括处理器，用于检索发布商的预留价格，以便通过在显示内容中流传到用户的符合条件的广告（“广告”）有效的印象 流; 并为接触他们的用户检索停留时间信息。 数据聚合器将广告聚合到不同的不同显示和在线广告系列上下文中。 该系统根据短消息阈值和用户驻留时间信息计算每个广告组中广告的短击比率。 统计分析器将统计功能应用于广告的停留时间信息，以产生驻留时间统计量。 储备价格调整者根据短点击率和停留时间统计量，调整NGD拍卖中广告组的投标价格定价，以支持具有较高停留时间和较低短线比率的广告组。

公开(公告)号：US20150120712A1

公开(公告)日：2015-04-30

申请号：US14064007

申请日：2013-10-25

Applicant: Yahoo! Inc.

Inventor： Xing Yi ,  Scott Gaffney ,  Jean-Marc Langlois

IPC: G06F17/30

CPC classification number: G06F17/30053

Abstract: Methods, systems, and computer programs are presented for selecting news articles for presentation to a user. One method includes an operation for measuring dwelltimes for a first set of news items, where the dwelltime for a news item is based on the amount of time that the news item is displayed to a viewer. Further, the method includes an operation for training a classifier of news items based on the measured dwelltimes and based on features associated with the first set of news items. Additionally, the method includes an operation for ranking with the classifier a second set of news items for presentation to the user, the ranking also using the profile of the user for delivery of customized news to the user. The ranked second set of news item is then presented to the user.

Abstract translation: 呈现方法，系统和计算机程序，用于选择用于呈现给用户的新闻文章。 一种方法包括用于测量第一组新闻项目的驻留时间的操作，其中新闻项目的驻留时间基于将消息项显示给观看者的时间量。 此外，该方法包括基于测量的驻留时间并基于与第一组新闻项相关联的特征来训练新闻项目的分类器的操作。 此外，该方法包括用于与分类器一起排列第二组新闻以便呈现给用户的操作，该排序还使用用户的简档将用户的消息传递给用户。 然后将第二组新闻项目呈现给用户。

公开(公告)号：US20140278308A1

公开(公告)日：2014-09-18

申请号：US13836556

申请日：2013-03-15

Applicant: YAHOO! INC.

Inventor： Nathan Liu ,  Scott Gaffney ,  Jean-Marc Langlois

IPC: H04L29/08

CPC classification number: H04L67/22 ,  G06F16/9577 ,  G06Q30/00 ,  G06Q30/02 ,  G06Q30/0251 ,  G06Q30/0269 ,  G06Q50/01 ,  H04L67/306 ,  H04N21/23424 ,  H04N21/44016 ,  H04N21/44222 ,  H04N21/812

Abstract: Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

Abstract translation: 测量用户参与度的方法，系统和程序。 在一个示例中，获得基于关于多个内容的用户活动而生成的模型。 识别关于一条多条内容的用户活动的一个或多个实际出现。 基于该模型来估计关于该内容的用户活动的一个或多个未来出现。 基于用户活动的一个或多个实际出现以及用户活动的一个或多个未来出现来计算相对于该内容的用户参与度分数。

公开(公告)号：US09424319B2

公开(公告)日：2016-08-23

申请号：US14344759

申请日：2013-03-15

Applicant: Yahoo! Inc.

Inventor： Xin Fan ,  Todd Beaupre ,  Jean-Marc Langlois

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30 ,  G06F17/30867

Abstract: A method for selecting a social media network user. The method comprises obtaining one or more parameters indicative of quality of social media network content from the social media network user, ranking the social media network user based on the one or more parameters, and determining whether the social media network user is selected based on the ranking.

Abstract translation: 一种用于选择社交媒体网络用户的方法。 该方法包括从社交媒体网络用户获取指示社交媒体网络内容的质量的一个或多个参数，基于一个或多个参数对社交媒体网络用户进行排名，以及基于该社交媒体网络用户是否选择社交媒体网络用户 排行。

公开(公告)号：US09355078B2

公开(公告)日：2016-05-31

申请号：US13843433

申请日：2013-03-15

Applicant: Yahoo! Inc.

Inventor： Xing Yi ,  Jean-Marc Langlois ,  Scott Gaffney

IPC: G06F17/22 ,  G06F9/445 ,  G06Q30/02

CPC classification number: G06F17/2247 ,  G06F9/44521 ,  G06F17/2235 ,  G06Q30/0277

Abstract: A method for determining a display time of a page is provided, including the following method operations: receiving a request for page data from a client; in response to the request, sending the page data to the client, the page data defining a page when rendered by the client, the rendered page including a page event module configured to detect and log events in a beacon for transmission, the events being selected from a group comprising a page unhide event, a page hide event, and a page unload event; receiving the beacon from the client; reading events logged in the beacon; and determining a display time of the page based on the events logged in the beacon.

Abstract translation: 提供了一种用于确定页面的显示时间的方法，包括以下方法操作：从客户端接收页面数据的请求; 响应于该请求，将页面数据发送给客户端，页面数据在由客户端呈现时定义页面，所呈现的页面包括被配置为检测和记录用于发送的信标中的事件的页面事件模块，所选择的事件 来自包括页面未隐藏事件，页面隐藏事件和页面卸载事件的组; 从客户端接收信标; 阅读在信标中记录的事件; 以及基于登录在所述信标中的事件来确定所述页面的显示时间。

公开(公告)号：US09270767B2

公开(公告)日：2016-02-23

申请号：US13835745

申请日：2013-03-15

Applicant: YAHOO! INC.

Inventor： Jean-Marc Langlois ,  Scott Gaffney ,  Choon Hui Teo ,  Nathan Liu

IPC: G06F15/16 ,  H04L29/08

CPC classification number: H04L67/22 ,  H04L67/306

Abstract: The present teaching relates to discovery of user unknown interests. In one example, information related to a user is retrieved from a user profile. The information indicates one or more known interests of the user. At least one known interest of the user is identified based on the information. One or more supplemental interests with respect to each identified at least one known interest of the user are identified. The one or more supplemental interests do not overlap with the one or more known interests of the user. Supplemental content associated with the one or more supplemental interests are identified. Each piece of content in the supplemental content is ranked. At least one piece of content in the supplemental content is selected based on the ranking. The selected at least one piece of supplemental content is used to discover unknown interest of the user.

Abstract translation: 本教学涉及用户未知兴趣的发现。 在一个示例中，从用户简档中检索与用户相关的信息。 该信息指示用户的一个或多个已知兴趣。 基于该信息来识别用户的至少一个已知兴趣。 识别关于每个所识别的用户的至少一个已知兴趣的一个或多个补充兴趣。 一个或多个补充兴趣不与用户的一个或多个已知兴趣重叠。 识别与一个或多个补充利益相关联的补充内容。 补充内容中的每条内容都被排名。 基于排名选择补充内容中的至少一条内容。 所选择的至少一条补充内容用于发现用户的未知兴趣。

公开(公告)号：US20150178790A1

公开(公告)日：2015-06-25

申请号：US14136045

申请日：2013-12-20

Applicant: Yahoo! Inc.

Inventor： Xing Yi ,  Yan ,  Jean-Marc Langlois ,  Prabhakar Krishnamurthy

IPC: G06Q30/02

CPC classification number: G06Q30/0275 ,  G06Q30/0202 ,  G06Q30/0273

Abstract: A system for adjusting reserve price for impressions of non-guaranteed delivery (“NDG”) advertising auctions includes a processor configured to retrieve a reserve price set by a publisher for an impression that is fillable by eligible advertisements to be streamed to users in a display content stream; and to retrieve user engagement information for users that engage the eligible advertisements. A statistical analyzer applies a statistical function to the user engagement information of an identified advertisement of the eligible advertisements, to generate a user engagement statistic for the identified advertisement related to a user engagement level. A reserve price adjuster dynamically adjusts the reserve price for the identified advertisement responsive to a value of the user engagement statistic, where the adjusted reserve price for the identified advertisement is different than the reserve price for at least another of the eligible advertisements based on different user engagement levels for each.

Abstract translation: 用于调整非担保交付（“NDG”）广告拍卖的展示的预留价格的系统包括处理器，其被配置为检索发布者设置的保留价格，以便通过符合条件的广告填充的印象被传送到显示器中的用户 内容流; 并为参与符合条件的广告的用户检索用户参与信息。 统计分析器将统计功能应用于所识别的符合条件广告的广告的用户参与信息，以生成与用户参与级别相关的所识别的广告的用户参与统计量。 储备价格调整者响应于用户参与统计量的值动态地调整所识别的广告的储备价格，其中针对所识别的广告的调整后的储备价格与基于不同用户的至少另一个符合条件的广告的保留价格不同 每个人的参与度。

公开(公告)号：US20150142557A1

公开(公告)日：2015-05-21

申请号：US14084412

申请日：2013-11-19

Applicant: Yahoo! Inc.

Inventor： Prabhakar Krishnamurthy ,  Xing Yi ,  Yan Jiao ,  Jean-Marc Langlois

IPC: G06Q30/02

CPC classification number: G06Q30/0246 ,  G06Q30/0241 ,  G06Q30/0283

Abstract: A method for adjusting pricing for advertisements of non-guaranteed delivery (“NDG”) advertising auctions includes retrieving dwell time information for users that engage advertisements streamed to the users in a display content stream. The method aggregates the advertisements into different groups according to display context (such as advertisement category, viewing device, product in which the advertisement is streamed, etc.) and computes short-click ratios of advertisements in each group based on a short-click threshold assigned to the group and the user dwell time information for the group. The method further determines average dwell time by users on advertisements in respective groups. The method adjusts pricing of the advertisements of a group for NGD bidding based on the short-click ratio and average dwell time of the group, to favor groups having higher dwell times and lower short-click ratios. Prices may be dynamically adjusted across different contexts based on user engagement information.

Abstract translation: 一种用于调整无保证递送广告（“NDG”）广告拍卖广告价格的方法包括：检索在显示内容流中流向用户的广告的用户的停留时间信息。 该方法根据显示上下文（例如广告类别，查看设备，广告流传的产品等）将广告聚合成不同的组，并且基于短点阈值计算每个组中的广告的短击比率 分配给组和用户驻留组的时间信息。 该方法进一步确定用户对各组中的广告的平均停留时间。 该方法根据群组的短点击率和平均停留时间调整NGD投标组广告的定价，有利于拥有较高停留时间的群体和较短的短点比率。 价格可以根据用户参与信息在不同的上下文中进行动态调整。