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    • 1. 发明申请
    • PREDICTIVE MODELING FOR E-COMMERCE ADVERTISING SYSTEMS AND METHODS
    • 电子商务广告系统和方法的预测建模
    • US20130138507A1
    • 2013-05-30
    • US13308527
    • 2011-11-30
    • Amit KumarGursharan SinghAndrew PariserSantiago AkleIlana Segall
    • Amit KumarGursharan SinghAndrew PariserSantiago AkleIlana Segall
    • G06Q30/02
    • G06Q30/0251
    • Systems and methods for facilitating a predictive advertising campaign are disclosed herein, in one embodiment an advertising analytics server is programmed with a predictive advertising engine and an advertisement personalization engine. The advertising analytics server is communicatively coupled to one or more e-commerce sites, search engines, Web browsers or other Web sites. The advertising analytics server and its constituent components are capable of implementing predictive advertising models and rules that automatically generate advertisements on behalf of e-commerce sites by analyzing data (analytics) from the e-commerce sites or individual consumers. Advertisements are optimally generated for e-commerce businesses based on statistical models that predict consumer behavior, preferences, and likelihood of purchases. Using these models, e-commerce businesses are able to advertise their products and services, bid on key words and target a variety of consumers in a personalized, targeted and cost effective manner, resulting in increased revenue and efficient allocation of marketing resources.
    • 本文公开了用于促进预测性广告活动的系统和方法,在一个实施例中,广告分析服务器用预测广告引擎和广告个性化引擎进行编程。 广告分析服务器通信地耦合到一个或多个电子商务站点,搜索引擎,Web浏览器或其他网站。 广告分析服务器及其组成部分能够通过分析电子商务网站或个人消费者的数据(分析)来实现代表电子商务网站自动生成广告的预测广告模型和规则。 根据预测消费者行为,偏好和购买可能性的统计模型,为电子商务企业优化广告。 使用这些模型,电子商务企业能够通过个性化,有针对性和成本有效的方式宣传其产品和服务,对关键词进行投标,并针对各种消费者,从而增加收入并有效地分配营销资源。
    • 5. 发明授权
    • Surfacing business applications based on calling activities
    • 基于呼叫活动来覆盖业务应用程序
    • US09369562B2
    • 2016-06-14
    • US13398351
    • 2012-02-16
    • Milind MahajanAmit Kumar
    • Milind MahajanAmit Kumar
    • H04M1/725H04M1/56H04M1/57
    • H04M1/72525H04M1/56H04M1/57H04M1/72569H04M2250/60
    • Computer-readable media, computer systems, and computing methods are provided for discovering applications using phone-number information. Initially, an application uploaded to an application marketplace is targeted. Phone numbers associated with the targeted application are discovered by identifying attributes of the targeted application from metadata associated therewith in the application marketplace, and identifying the phone numbers that reach at least one business affiliated with the targeted application or are relevant to the identified attributes of the targeted application. The associated phone numbers are mapped to the targeted application and maintained within an application manifest. Upon detecting user-initiated call-based operation(s) at a client device, the phone number(s) involved in the call-based operation(s) are compared against the application manifest to determine relevant applications. The relevant applications are distributed to the client device for presentation within a phone-number context, such as placing an outgoing call, receiving an incoming call, or reviewing a call-history log.
    • 提供计算机可读介质,计算机系统和计算方法,用于使用电话号码信息来发现应用。 最初,上传到应用程序市场的应用程序是针对性的。 与目标应用相关联的电话号码通过从应用市场中与其相关的元数据识别目标应用的属性来发现,并且识别到达至少一个与目标应用有关的业务的电话号码,或者与所标识的属性相关 有针对性的应用。 相关联的电话号码映射到目标应用程序并保存在应用程序清单中。 在客户端设备检测用户发起的基于呼叫的操作时,将基于呼叫的操作中涉及的电话号码与应用程序清单进行比较以确定相关的应用程序。 将相关应用程序分发到客户端设备,以便在电话号码上下文中进行呈现,例如放置呼出呼叫,接收来电或查看呼叫历史日志。