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    • 1. 发明申请
    • GENERATING A SCORE FOR A COUPON CAMPAIGN
    • 生成优惠券
    • US20130179239A1
    • 2013-07-11
    • US13345551
    • 2012-01-06
    • Kavel PatelSajjit Thampy
    • Kavel PatelSajjit Thampy
    • G06Q30/02
    • G06Q30/0211G06Q30/0207
    • Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek.
    • 技术被提供用于由优惠券分销商生成表示优惠券提供商向优惠券分销商提供的优惠券活动的质量的分数。 该分数可以根据产品的品牌,产品所属的产品类别,优惠券价值以及优惠券所反映的百分比折扣来生成。 这些因素中的一个或多个可以基于指示先前优惠券活动(例如,相同产品,品牌和/或产品类别和/或类似优惠券价值)的成功(或失败)的历史数据。 优惠券经销商使用分数,例如确定是否接受提议的优惠券活动,投影优惠券活动的打印/兑换数量,确定如何呈现优惠券,确定运行优惠券活动的费用金额,以及 /或确定优惠券分销商应寻求的优惠券的产品或产品类别。
    • 2. 发明申请
    • GROCERY RECOMMENDATION ENGINE
    • GROCERY推荐发动机
    • US20140074649A1
    • 2014-03-13
    • US13612848
    • 2012-09-13
    • Kavel PatelSajjit Thampy
    • Kavel PatelSajjit Thampy
    • G06Q30/00
    • G06Q30/0631
    • State-based approaches, techniques, and mechanisms are disclosed for recommending items to a user. A method comprises detecting a user state, from a plurality of different enumerated user states, based on items that the user recently selected, and/or location data. Based upon the detected user state, a particular algorithm, from a plurality of algorithms, is selected for recommending items. Information about the recommended items is presented to the user. Responsive to presenting the information about the recommended items, input is received selecting one or more of the recommended items for at least one of: adding to a shopping list, or requesting a coupon. Examples of possible detected user states include a recipe state, a grocery shopping state, and a quick shopping-run state. In an embodiment, state detection occurs at a client device, such as a smartphone featuring a shopping list management application or coupon application. A server-side recommendation engine provides recommendations.
    • 公开了基于状态的方法,技术和机制来向用户推荐项目。 一种方法包括基于用户最近选择的项目和/或位置数据从多个不同的枚举用户状态检测用户状态。 基于检测到的用户状态,选择来自多个算法的特定算法来推荐项目。 向用户显示有关推荐项目的信息。 响应于呈现关于推荐项目的信息,接收到输入选择以下至少一个的推荐项目中的一个或多个:添加到购物清单或请求优惠券。 可能检测到的用户状态的示例包括配方状态,杂货购物状态和快速购物状态。 在一个实施例中,状态检测发生在客户端设备,例如具有购物清单管理应用或优惠券应用的智能手机。 服务器端推荐引擎提供建议。
    • 3. 发明申请
    • Search Category Commercialization Index
    • 搜索类别商业化指数
    • US20080133498A1
    • 2008-06-05
    • US11567145
    • 2006-12-05
    • Kavel Patel
    • Kavel Patel
    • G06F7/00
    • G06Q30/02G06F16/951
    • A search category commercialization index (SCCI) may be calculated to determine the current and/or potential commercialization of a category of searches in a search engine. This may be accomplished by measuring two or more metrics from the group consisting of: number of searches within the category; number of searches within the category that result in results pages having sponsored search results; number of total advertisers in the category; average number of sponsored search listings for results pages in the category; click-through rate for advertisements in the category; share of sponsored search results that are clicked versus other items that are clicked on results pages in the category; average price per click on a sponsored search result advertisement; and lifetime value of users who perform searches within the category. The SCCI may be calculated based on the two or more metrics and then may be compared to SCCIs for other categories in the search engine.
    • 可以计算搜索类别商业化指数(SCCI)以确定搜索引擎中的搜索类别的当前和/或潜在商业化。 这可以通过测量来自以下的组中的两个或更多个度量来实现:组内的搜索数量; 导致结果页面具有赞助搜索结果的类别中的搜索数量; 该类别的广告客户总数; 该类别中结果页面的赞助搜索列表的平均数量; 该类别广告的点击率; 被点击的赞助搜索结果与在该类别中的结果页上点击的其他项目的份额; 赞助搜索结果广告的每次点击平均价格; 以及在类别中执行搜索的用户的生命周期价值。 可以基于两个或更多个度量来计算SCCI,然后可以与搜索引擎中的其他类别的SCCI进行比较。
    • 4. 发明授权
    • Determining a value for a coupon
    • 确定优惠券的价值
    • US08615427B2
    • 2013-12-24
    • US13277152
    • 2011-10-19
    • Deepak GoelKavel PatelSajjit Thampy
    • Deepak GoelKavel PatelSajjit Thampy
    • G06Q30/00
    • G06Q30/0219G06Q30/0207
    • Techniques are provided for determining, by a coupon distributor, a value for a coupon of a product or service that will be provided by a coupon provider. The coupon provider provides, to the coupon distributor, one or both of a budget value that indicates an amount the coupon provider is willing to pay the coupon distributor for distributing the coupon, and a redemption rate that indicates one or more target redemption rates. The coupon provider uses a coupon value equation to calculate the coupon value based on a budget value and a redemption rate. The coupon provider might estimate that no coupon value will allow the coupon provider to stay within the budget and ensure that the actual redemption rate will be close to a particular redemption rate, which may or may not be specified by the coupon distributor.
    • 提供技术用于由优惠券分销商确定将由优惠券提供商提供的产品或服务的优惠券的价值。 优惠券提供商向优惠券经销商提供一个预算值,其中一个或两个指示优惠券提供者愿意支付优惠券分配器用于分发优惠券的金额,以及表示一个或多个目标赎回率的兑换率。 优惠券提供者使用优惠券价值方程式根据预算值和兑换率计算优惠券价值。 优惠券供应商可能会估计,没有优惠券价值将允许优惠券提供商保持在预算范围内,并确保实际赎回率将接近特定赎回率,可能或可能不会由优惠券经销商指定。
    • 5. 发明授权
    • Sponsored search coverage expansion
    • 赞助搜索覆盖扩展
    • US08380706B2
    • 2013-02-19
    • US11567099
    • 2006-12-05
    • Kavel Patel
    • Kavel Patel
    • G06F7/00G06F17/30
    • G06Q30/0256G06F17/30864G06Q30/02
    • An embodiment is provided wherein a search query is received from a user. It may then be determined if the search query would ordinarily result in a results page having no sponsored search advertising. If the search would ordinarily result in a results page having no sponsored search advertising, then advertising that would ordinarily be displayed in response to each of two or more search terms making up the search query individually may be aggregated. Then one or more advertisements may be selected from the aggregated advertising. Then the selected advertisements may be displayed on a results page responsive to the search query.
    • 提供了一种从用户接收搜索查询的实施例。 然后可以确定搜索查询是否通常导致没有赞助的搜索广告的结果页面。 如果搜索通常导致没有赞助搜索广告的结果页面,则可以聚合通常响应于构成组合搜索查询的两个或多个搜索词语中的每一个而显示的广告。 然后可以从聚合广告中选择一个或多个广告。 然后,所选择的广告可以响应于搜索查询显示在结果页上。
    • 6. 发明申请
    • Propensity-to-click targeting and modeling
    • 倾向点击定位和建模
    • US20080147476A1
    • 2008-06-19
    • US11612788
    • 2006-12-19
    • Kavel Patel
    • Kavel Patel
    • G06Q30/00
    • G06Q30/02
    • In an embodiment of the present invention, two or more metrics may be measured from the group consisting of: the user's age, the user's gender, the user's race, the user's geographic location, the user's annual income, the user's profession, types of areas of the search engine that the user frequents, types of searches that the user typically conducts, and the user's prior history (short and/or long-term) of clicking on advertisements. A propensity-to-click score may then be calculated for the user based on the two or more measured metrics. Then this score may be used to dynamically determine how to present advertising in response to a search by the user.
    • 在本发明的一个实施例中,可以从包括用户的年龄,用户的性别,用户的比赛,用户的地理位置,用户的年收入,用户的职业,区域的类型的组中测量两个或更多个度量 用户经常访问的搜索引擎,用户通常进行的搜索的类型以及用户的点击广告的以前的历史(短期和/或长期)。 然后可以基于两个或更多个测量的度量为用户计算倾向点击分数。 然后,该分数可用于动态地确定如何响应于用户的搜索来呈现广告。
    • 7. 发明授权
    • Propensity-to-click targeting and modeling
    • 倾向点击定位和建模
    • US07769786B2
    • 2010-08-03
    • US11612788
    • 2006-12-19
    • Kavel Patel
    • Kavel Patel
    • G06F17/30
    • G06Q30/02
    • In an embodiment of the present invention, two or more metrics may be measured from the group consisting of: the user's age, the user's gender, the user's race, the user's geographic location, the user's annual income, the user's profession, types of areas of the search engine that the user frequents, types of searches that the user typically conducts, and the user's prior history (short and/or long-term) of clicking on advertisements. A propensity-to-click score may then be calculated for the user based on the two or more measured metrics. Then this score may be used to dynamically determine how to present advertising in response to a search by the user.
    • 在本发明的一个实施例中,可以从包括用户的年龄,用户的性别,用户的比赛,用户的地理位置,用户的年收入,用户的职业,区域的类型的组中测量两个或更多个度量 用户经常访问的搜索引擎,用户通常进行的搜索的类型以及用户的点击广告的以前的历史(短期和/或长期)。 然后可以基于两个或更多个测量的度量为用户计算倾向点击分数。 然后,该分数可用于动态地确定如何响应于用户的搜索呈现广告。
    • 9. 发明申请
    • SPONSORED SEARCH COVERAGE EXPANSION
    • 赞助搜索覆盖扩展
    • US20080133477A1
    • 2008-06-05
    • US11567099
    • 2006-12-05
    • Kavel Patel
    • Kavel Patel
    • G06F17/30G06F3/00
    • G06Q30/0256G06F17/30864G06Q30/02
    • An embodiment is provided wherein a search query is received from a user. It may then be determined if the search query would ordinarily result in a results page having no sponsored search advertising. If the search would ordinarily result in a results page having no sponsored search advertising, then advertising that would ordinarily be displayed in response to each of two or more search terms making up the search query individually may be aggregated. Then one or more advertisements may be selected from the aggregated advertising. Then the selected advertisements may be displayed on a results page responsive to the search query.
    • 提供了一种从用户接收搜索查询的实施例。 然后可以确定搜索查询是否通常导致没有赞助的搜索广告的结果页面。 如果搜索通常导致没有赞助搜索广告的结果页面,则可以聚合通常响应于构成组合搜索查询的两个或多个搜索词语中的每一个而显示的广告。 然后可以从聚合广告中选择一个或多个广告。 然后,所选择的广告可以响应于搜索查询显示在结果页上。
    • 10. 发明授权
    • Generating a score for a coupon campaign
    • 生成优惠券活动的分数
    • US08560384B2
    • 2013-10-15
    • US13345551
    • 2012-01-06
    • Kavel PatelSajjit Thampy
    • Kavel PatelSajjit Thampy
    • G06Q30/00
    • G06Q30/0211G06Q30/0207
    • Techniques are provided for generating, by a coupon distributor, a score that represents a quality of a coupon campaign that a coupon provider offers to the coupon distributor. The score may be generated based on the brand of the product, the product category to which the product belongs, the coupon value, and the percentage discount reflected by the coupon. One or more of these factors may be based on historical data that indicates the success (or failure) of previous coupon campaigns (e.g., of the same product, brand, and/or product category, and/or similar coupon value). The coupon distributor uses the score to, e.g., determine whether to accept a proposed coupon campaign, project the number of prints/redemptions of the coupon campaign, determine how to present the coupon, determine an amount to charge for running the coupon campaign, and/or determine products or product categories of coupons to which the coupon distributor should seek.
    • 技术被提供用于由优惠券分销商生成表示优惠券提供商向优惠券分销商提供的优惠券活动的质量的分数。 该分数可以根据产品的品牌,产品所属的产品类别,优惠券价值以及优惠券所反映的百分比折扣来生成。 这些因素中的一个或多个可以基于指示先前优惠券活动(例如,相同产品,品牌和/或产品类别和/或类似优惠券价值)的成功(或失败)的历史数据。 优惠券经销商使用分数,例如确定是否接受提议的优惠券活动,投影优惠券活动的打印/兑换数量,确定如何呈现优惠券,确定运行优惠券活动的费用金额,以及 /或确定优惠券分销商应寻求的优惠券的产品或产品类别。