Displaying location-based images that match the weather conditions
    692.
    发明授权
    Displaying location-based images that match the weather conditions 有权
    显示与天气条件匹配的基于位置的图像

    公开(公告)号:US09386432B2

    公开(公告)日:2016-07-05

    申请号:US13964499

    申请日:2013-08-12

    Applicant: YAHOO! INC.

    CPC classification number: H04W4/025 G06F3/0485 G06F17/30277 H04W4/20

    Abstract: An image associated with a location and depicting the current weather conditions at the location is served to the user along with the current weather data of the location. If an image for the location that aptly depicts the weather conditions as indicated by the weather data cannot be identified, the geographical area associated with the location is expanded to search for appropriate images from an expanded image pool. The expansion can continue in one or more steps until a threshold is reached beyond which the geographical area my no longer be expanded. If no images are retrieved upon reaching the threshold, an image reflecting the weather condition is selected from a fallback image set for presentation with the weather data.

    Abstract translation: 与该位置的当前天气数据一起,向用户提供与位置相关联并且描绘该位置处当前天气状况的图像。 如果不能识别适当地描绘天气数据所指示的天气条件的位置的图像,则扩展与位置相关联的地理区域以从扩展图像池搜索适当的图像。 扩展可以在一个或多个步骤中继续进行,直到达到阈值以上,而不再扩展我的地理区域。 如果在达到阈值时没有检索到图像,则从用于与天气数据呈现的后备图像中选择反映天气状况的图像。

    Categorizing hash tags
    693.
    发明授权
    Categorizing hash tags 有权
    分类哈希标签

    公开(公告)号:US09384259B2

    公开(公告)日:2016-07-05

    申请号:US14170952

    申请日:2014-02-03

    Applicant: Yahoo! Inc.

    Abstract: A content item categorizer system retrieves content items from Internet sources. If a retrieved content item includes sufficient information for traditional categorization methods, then the system assigns one or more categories to the content item using such traditional methods. The system creates a metadata model, based on information about traditionally-categorized content items, that maps at least hashtags from the content items to one or more content categories. When the system retrieves a sparse-info item that does not include sufficient information for traditional categorization, the system applies the metadata model to categorize the content item using at least hashtags in the sparse-info item. The metadata model may also include information indicating mappings between categories and coincidence of hashtags and additional content item attributes. Also, the metadata model may provide information for categorizing sparse-info items based on multiple hashtags in the sparse-info item metadata.

    Abstract translation: 内容项分类系统从互联网来源检索内容项。 如果检索到的内容项目包含用于传统分类方法的足够信息,则系统使用这种传统方法向内容项目分配一个或多个类别。 该系统基于关于传统分类的内容项目的信息创建元数据模型,其将至少将内容项目的标签图映射到一个或多个内容类别。 当系统检索到不包含传统分类的足够信息的稀疏信息项时,系统应用元数据模型,使用稀疏信息项中的至少一个标签进行内容分类。 元数据模型还可以包括指示类别之间的映射的信息,以及主题标签和附加内容项目属性的一致性。 此外,元数据模型可以提供用于根据稀疏信息项元数据中的多个标签符号对稀疏信息项进行分类的信息。

    FACILITATING ADVERTISER COMPETITION FOR PROVIDING COMPETING ADVERTISEMENTS
    696.
    发明申请
    FACILITATING ADVERTISER COMPETITION FOR PROVIDING COMPETING ADVERTISEMENTS 审中-公开
    促进广告主竞争提供竞争广告

    公开(公告)号:US20160189242A1

    公开(公告)日:2016-06-30

    申请号:US14588164

    申请日:2014-12-31

    Applicant: Yahoo!, Inc.

    CPC classification number: G06Q30/0275 G06Q30/0243

    Abstract: Users may receive content (e.g., an email, an app interface, a website, a social media post, etc.) comprising a first advertisement. The first advertisement may be evaluated to extract advertisement features (e.g., an item, an item price, a supplemental term of the first advertisement, etc.). An advertisement opportunity may be offered to a second advertiser through an advertiser exchange interface. The second advertiser may generate an advertisement bid to show a second advertisement for the item. Responsive to the advertisement bid being more favorable to the user than the first advertisement (e.g., a lower price, the item with enhanced features for a similar price, etc.), the first advertisement and the second advertisement may be presented with the content to the user.

    Abstract translation: 用户可以接收包括第一广告的内容(例如,电子邮件,应用界面,网站,社交媒体帖子等)。 可以评估第一广告以提取广告特征(例如,项目,项目价格,第一广告的补充术语等)。 可以通过广告商交换界面向第二广告商提供广告机会。 第二广告商可以产生广告投标以显示该项目的第二广告。 响应于广告投标比第一广告更有利于用户(例如,较低的价格,具有类似价格的增强特征的商品等),可以向第一广告和第二广告呈现内容 用户。

    PREDICTING THE NEXT APPLICATION THAT YOU ARE GOING TO USE ON AVIATE
    697.
    发明申请
    PREDICTING THE NEXT APPLICATION THAT YOU ARE GOING TO USE ON AVIATE 有权
    预测您将在AVIATE上使用的下一个应用程序

    公开(公告)号:US20160189049A1

    公开(公告)日:2016-06-30

    申请号:US14586635

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    CPC classification number: G06N99/005 H04L67/22 H04W4/029 H04W4/20

    Abstract: In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context, wherein the computer-generated model is associated with the mobile device. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

    Abstract translation: 在一个实施例中,可以确定移动设备的当前上下文,其中当前上下文包括通过移动设备打开的最后一个应用的指示,其中打开的最后一个应用是安装在移动设备上的多个应用中的一个。 可以针对多个应用程序中的每个应用程序确定移动设备的用户将在当前上下文下使用相应应用的概率,其中通过应用计算机来确定多个应用的​​至少一部分的概率 生成的模型与当前上下文相关联,其中计算机生成的模型与移动设备相关联。 至少部分地,可以基于多个应用中的每个应用的概率来识别多个应用中的一个或多个,即移动设备的用户将使用相应的应用。

    Method and System for Entity Linking
    698.
    发明申请
    Method and System for Entity Linking 审中-公开
    实体链接的方法和系统

    公开(公告)号:US20160189047A1

    公开(公告)日:2016-06-30

    申请号:US14585315

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    Abstract: The present teaching relates to entity linking. In one example, a text string is received. The text string is segmented to obtain a segmentation with a set of one or more segments of the text string. A set of entities are identified, with respect to the one or more segments, from a plurality of entities as linked to the one or more segments. The identifying is in accordance with a probabilistic model based on surface form information associated with the plurality of entities.

    Abstract translation: 本教学与实体联系有关。 在一个示例中,接收文本串。 文本字符串被分段以获得具有文本串的一个或多个段的集合的分割。 相对于一个或多个段,从与所述一个或多个段相关联的多个实体中识别一组实体。 识别符合基于与多个实体相关联的表面形式信息的概率模型。

    Method and System for Enhanced Content Recommendation
    699.
    发明申请
    Method and System for Enhanced Content Recommendation 审中-公开
    增强内容推荐方法与系统

    公开(公告)号:US20160188725A1

    公开(公告)日:2016-06-30

    申请号:US14586202

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    Abstract: Method, system, and programs for providing content recommendation are disclosed. A first set of candidate content items may be generated based on a user profile, and a second set of candidate items may be generated based on the likelihood that the user will click a corresponding candidate content item in the second set. The candidate content items in the first and second sets may be ranked together using a learning model and presented to the user as content recommendations based on their rankings. The likelihood that the user will click a given candidate content item in the second set may be estimated based on similarities between the given content item and content items related to the given content item. Such a similarity may be computed based on activities performed by users who have viewed both the given content item and a related content item.

    Abstract translation: 公开了用于提供内容推荐的方法,系统和程序。 可以基于用户简档来生成第一组候选内容项,并且可以基于用户将点击第二组中的相应候选内容项的可能性来生成第二组候选项。 可以使用学习模型将第一和第二组中的候选内容项目排列在一起,并且基于其排名将其呈现给用户作为内容推荐。 可以基于给定内容项和与给定内容项相关的内容项之间的相似度来估计用户点击第二组中的给定候选内容项的可能性。 可以基于同时观看给定内容项目和相关内容项目的用户执行的活动来计算这样的相似度。

    PACING CONTROL FOR ONLINE AD CAMPAIGNS
    700.
    发明申请
    PACING CONTROL FOR ONLINE AD CAMPAIGNS 审中-公开
    在线广告的控制

    公开(公告)号:US20160180373A1

    公开(公告)日:2016-06-23

    申请号:US14573979

    申请日:2014-12-17

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0244 G06Q30/0272

    Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.

    Abstract translation: 这里描述了在线广告系列投放安排的技术和系统。 本文描述的技术使用预算分配以及出价和响应率的估计。 通过使用预算分配,这些技术可以使用预算投放安排来增加展示次数并最大化期望的响应,例如所需的点击率。 这些技术专注于提高广告系列的投放安排和效果,例如提升不同的和/或统一的在线广告市场的效能。 这些技术在需求侧平台(DSP)的上下文中特别有用。 在一些示例中,这些技术假定,对于广告的展示次数,展示供应量远远大于广告客户的需求,因此此类技术将重点放在选择高性能的广告空间广告资源。 然而,随着时间的推移,广告的流畅或一致性得到了这样的关注。

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