会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • SUGGESTING AND/OR PROVIDING TARGETING CRITERIA FOR ADVERTISEMENTS
    • 建议和/或提供广告的目标标准
    • US20130185149A1
    • 2013-07-18
    • US13784401
    • 2013-03-04
    • Ross KoningsteinValentin SpitkovskyGeorges R. HarikNoam Shazeer
    • Ross KoningsteinValentin SpitkovskyGeorges R. HarikNoam Shazeer
    • G06Q30/02
    • G06Q30/0251G06F16/316G06F16/3322G06F16/334G06F16/355G06F16/686G06Q30/02G06Q30/0201
    • Keyword suggestions that are category-aware (and field-proven) may be used to help advertisers better target the serving of their ads, and may reduce unused ad spot inventory. The advertiser can enter ad information, such as a creative, a landing Webpage, other keywords, etc. for example. A keyword facility may use this entered ad information as seed information to infer one or more categories. It may then request that the advertiser confirm or deny some basic feedback information (e.g., categories, Webpage information, etc.). For example, an advertiser may be provided with candidate categories and may be asked to confirm (e.g., using checkboxes) which of the categories are relevant to their ad. Keywords may be determined using at least the categories. The determined keywords may be provided to the advertiser as suggested keywords, or may automatically populate ad serving constraint information as targeting keywords. The ad server system can run a trial on the determined keywords to qualify or disqualify them as targeting keyword.
    • 类别感知(经实地验证)的关键字建议可用于帮助广告客户更好地定位广告投放,并可能减少未使用的广告现货库存。 广告客户可以输入广告信息,例如广告素材,着陆页面,其他关键字等。 关键字设施可以使用该输入的广告信息作为种子信息来推断一个或多个类别。 然后,它可以请求广告商确认或拒绝一些基本反馈信息(例如,类别,网页信息等)。 例如,可以向广告商提供候选类别,并且可以要求其确认(例如,使用复选框)哪些类别与他们的广告相关。 可以使用至少类别来确定关键字。 所确定的关键字可以作为建议的关键字提供给广告商,或者可以自动地将广告投放约束信息填充为定位关键字。 广告服务器系统可以对确定的关键字进行试用,以使其符合资格或取消资格作为定位关键字。
    • 2. 发明授权
    • Suggesting and/or providing targeting criteria for advertisements
    • 建议和/或提供广告的定位标准
    • US08392249B2
    • 2013-03-05
    • US10750451
    • 2003-12-31
    • Ross KoningsteinValentin SpitkovskyGeorges R. HarikNoam Shazeer
    • Ross KoningsteinValentin SpitkovskyGeorges R. HarikNoam Shazeer
    • G06Q30/00
    • G06Q30/0251G06F17/30619G06F17/3064G06F17/30675G06F17/3071G06F17/30752G06Q30/02G06Q30/0201
    • Keyword suggestions that are category-aware (and field-proven) may be used to help advertisers better target the serving of their ads, and may reduce unused ad spot inventory. The advertiser can enter ad information, such as a creative, a landing Webpage, other keywords, etc. for example. A keyword facility may use this entered ad information as seed information to infer one or more categories. It may then request that the advertiser confirm or deny some basic feedback information (e.g., categories, Webpage information, etc.). For example, an advertiser may be provided with candidate categories and may be asked to confirm (e.g., using checkboxes) which of the categories are relevant to their ad. Keywords may be determined using at least the categories. The determined keywords may be provided to the advertiser as suggested keywords, or may automatically populate ad serving constraint information as targeting keywords. The ad server system can run a trial on the determined keywords to qualify or disqualify them as targeting keyword.
    • 类别感知(经实地验证)的关键字建议可用于帮助广告客户更好地定位广告投放,并可能减少未使用的广告现货库存。 广告客户可以输入广告信息,例如广告素材,着陆页面,其他关键字等。 关键字设施可以使用该输入的广告信息作为种子信息来推断一个或多个类别。 然后,它可以请求广告商确认或拒绝一些基本反馈信息(例如,类别,网页信息等)。 例如,可以向广告商提供候选类别,并且可以要求其确认(例如,使用复选框)哪些类别与他们的广告相关。 可以使用至少类别来确定关键字。 所确定的关键字可以作为建议的关键字提供给广告商,或者可以自动地将广告投放约束信息填充为定位关键字。 广告服务器系统可以对确定的关键字进行试用,以使其符合资格或取消资格作为定位关键字。
    • 4. 发明申请
    • Suggesting and/or providing targeting criteria for advertisements
    • 建议和/或提供广告的定位标准
    • US20050228797A1
    • 2005-10-13
    • US10750451
    • 2003-12-31
    • Ross KoningsteinValentin SpitkovskyGeorges HarikNoam Shazeer
    • Ross KoningsteinValentin SpitkovskyGeorges HarikNoam Shazeer
    • G06F17/00
    • G06Q30/0251G06F17/30619G06F17/3064G06F17/30675G06F17/3071G06F17/30752G06Q30/02G06Q30/0201
    • Keyword suggestions that are category-aware (and field-proven) may be used to help advertisers better target the serving of their ads, and may reduce unused ad spot inventory. The advertiser can enter ad information, such as a creative, a landing Webpage, other keywords, etc. for example. A keyword facility may use this entered ad information as seed information to infer one or more categories. It may then request that the advertiser confirm or deny some basic feedback information (e.g., categories, Webpage information, etc.). For example, an advertiser may be provided with candidate categories and may be asked to confirm (e.g., using checkboxes) which of the categories are relevant to their ad. Keywords may be determined using at least the categories. The determined keywords may be provided to the advertiser as suggested keywords, or may automatically populate ad serving constraint information as targeting keywords. The ad server system can run a trial on the determined keywords to qualify or disqualify them as targeting keyword.
    • 类别感知(经实地验证)的关键字建议可用于帮助广告客户更好地定位广告投放,并可能减少未使用的广告现货库存。 广告客户可以输入广告信息,例如广告素材,着陆页面,其他关键字等。 关键字设施可以使用该输入的广告信息作为种子信息来推断一个或多个类别。 然后,它可以请求广告商确认或拒绝一些基本反馈信息(例如,类别,网页信息等)。 例如,可以向广告商提供候选类别,并且可以要求其确认(例如,使用复选框)哪些类别与他们的广告相关。 可以使用至少类别来确定关键字。 所确定的关键字可以作为建议的关键字提供给广告商,或者可以自动地将广告投放约束信息填充为定位关键字。 广告服务器系统可以对确定的关键字进行试用,以使其符合资格或取消资格作为定位关键字。
    • 6. 发明申请
    • Associating features with entities, such as categories of web page documents, and/or weighting such features
    • 将功能与实体相关联,例如网页文档的类别和/或加权这些特征
    • US20060149710A1
    • 2006-07-06
    • US11026497
    • 2004-12-30
    • Ross KoningsteinStephen LawrenceValentin Spitkovsky
    • Ross KoningsteinStephen LawrenceValentin Spitkovsky
    • G06F17/30
    • G06F16/9535G06Q30/02G06Q30/0242G06Q30/0256G06Q30/0277
    • Features that may be used to represent relevance information (e.g., properties, characteristics, etc.) of an entity, such as a document or concept for example, may be associated with the document by accepting an identifier that identifies a document; obtaining search query information (and/or other serving parameter information) related to the document using the document identifier, determining features using the obtained query information (and/or other serving parameter information), and associating the features determined with the document. Weights of such features may be similarly determined. The weights may be determined using scores. The scores may be a function of one or more of whether the document was selected, a user dwell time on a selected document, whether or not a conversion occurred with respect to the document, etc. The document may be a Web page. The features may be n-grams. The relevance information of the document may be used to target the serving of advertisements with the document.
    • 可以用于表示实体(例如文档或概念)的相关性信息(例如,属性,特征等)的特征可以通过接受标识文档的标识符与文档相关联; 使用所述文档标识符获取与所述文档相关的搜索查询信息(和/或其他服务参数信息),使用所获得的查询信息(和/或其他服务参数信息)确定特征,以及将所确定的特征与所述文档相关联。 可以类似地确定这些特征的权重。 可以使用分数确定权重。 分数可以是文档被选择,用户在所选文档上的逗留时间,是否相对于文档进行转换等中的一个或多个的功能。该文档可以是网页。 功能可能是n克。 文档的相关性信息可以用于将文档的广告的服务定位。
    • 8. 发明授权
    • Mixing items, such as ad targeting keyword suggestions, from heterogeneous sources
    • 从异构来源混合项目,如广告定位关键字建议
    • US07801899B1
    • 2010-09-21
    • US10957337
    • 2004-10-01
    • Valentin Spitkovsky
    • Valentin Spitkovsky
    • G06F17/30G06F7/00
    • G06Q30/02G06Q30/0241G06Q30/0243
    • The way in which targeting keywords are suggested to advertisers, particularly in instances where different suggestion tools or techniques provide a number of different sets of targeting keyword suggestions, may be improved by (a) accepting at least two heterogeneous sets of suggestions (where each of the sets of suggestions includes suggestions that are ranked and/or scored), (b) determining, for each of the sets of suggestions, a new score for each of the suggestions of the set, where the new score combines an cardinal aspect of the suggestion and an ordinal aspect of the suggestion, and (c) combining at least some of the suggestions from each of the sets using the new scores to generate a final set of ordered and/or scored suggestions. Each of the suggestions may include information for targeting the serving of an online advertisement. For example, each of the suggestions may include a keyword for targeting the serving of an online advertisement. Each of the suggestions may include a keyword type.
    • 向广告客户推荐定位关键字的方式,特别是在不同的建议工具或技术提供多种不同的定位关键字建议的情况下,可以通过(a)接受至少两个异构的建议集(其中每个 这些建议包括排名和/或得分的建议),(b)为每个建议集合确定每个组的建议的新分数,其中新分数结合了组合的主要方面 建议和建议的顺序方面,以及(c)使用新分数组合来自每个集合的至少一些建议,以生成最终的有序和/或得分建议集。 每个建议可能包括针对在线广告的投放的信息。 例如,每个建议可以包括用于定位在线广告的服务的关键字。 每个建议可能包括关键字类型。
    • 10. 发明申请
    • MIXING ITEMS, SUCH AS AD TARGETING KEYWORD SUGGESTIONS, FROM HETEROGENEOUS SOURCES
    • 混合物品,如同样的关键词建议,来自异质源
    • US20100223125A1
    • 2010-09-02
    • US12779242
    • 2010-05-13
    • Valentin Spitkovsky
    • Valentin Spitkovsky
    • G06Q30/00G06F17/30
    • G06Q30/02G06Q30/0241G06Q30/0243
    • The way in which targeting keywords are suggested to advertisers, particularly in instances where different suggestion tools or techniques provide a number of different sets of targeting keyword suggestions, may be improved by (a) accepting at least two heterogeneous sets of suggestions (where each of the sets of suggestions includes suggestions that are ranked and/or scored), (b) determining, for each of the sets of suggestions, a new score for each of the suggestions of the set, where the new score combines an cardinal aspect of the suggestion and an ordinal aspect of the suggestion, and (c) combining at least some of the suggestions from each of the sets using the new scores to generate a final set of ordered and/or scored suggestions. Each of the suggestions may include information for targeting the serving of an online advertisement. For example, each of the suggestions may include a keyword for targeting the serving of an online advertisement. Each of the suggestions may include a keyword type.
    • 向广告客户推荐定位关键字的方式,特别是在不同的建议工具或技术提供多种不同的定位关键字建议的情况下,可以通过(a)接受至少两个异构的建议集(其中每个 这些建议包括排名和/或得分的建议),(b)为每个建议集合确定每个组的建议的新分数,其中新分数结合了组合的主要方面 建议和建议的顺序方面,以及(c)使用新分数组合来自每个集合的至少一些建议,以生成最终的有序和/或得分建议集。 每个建议可能包括针对在线广告的投放的信息。 例如,每个建议可以包括用于定位在线广告的服务的关键字。 每个建议可能包括关键字类型。