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    • 1. 发明申请
    • METHOD AND SYSTEM FOR IN-APPLICATION DIGITAL CONTENT SEARCH AND DISCOVERY
    • 用于应用数字内容搜索和发现的方法和系统
    • WO2016139675A2
    • 2016-09-09
    • PCT/IN2016/000055
    • 2016-03-01
    • PERSISTENT SYSTEMS LIMITED
    • G06F17/30
    • G06F17/30943G06Q30/02
    • A method and system for in-application digital content search and discovery. Particularly, the invention provides a method and system for in-application digital content search and discovery, using a discovery circle head as overlap on top of an application running on a user's network enabled communication device, enabling the user to search and discover digital content on current application context without exiting the application, matching and pulling the digital content based on application context and subsequently displaying the searched and discovered digital content on top of said application.
    • 一种用于应用内数字内容搜索和发现的方法和系统。 特别地,本发明提供了一种用于应用内数字内容搜索和发现的方法和系统,其使用发现圈头作为在用户的启用网络的通信设备上运行的应用的顶部上的重叠,使得用户能够搜索和发现数字内容 当前应用程序上下文,而不退出应用程序,根据应用程序上下文匹配和拉取数字内容,随后在所述应用程序之上显示所搜索和发现的数字内容。
    • 2. 发明申请
    • INTEGRATED INTERMEDIARY COMPUTING DEVICE FOR DATA ANALYTIC ENHANCEMENT
    • 用于数据分析增强的集成中间计算设备
    • WO2016132253A1
    • 2016-08-25
    • PCT/IB2016/050711
    • 2016-02-10
    • PERSISTENT SYSTEMS LIMITED
    • DESHPANDE, MukundDIXIT, SameerRAY, DhruvaDATAR, Vinayak
    • G06F17/30
    • G06F17/30696G06F17/30557G06F17/3066G06F17/30716
    • An intermediary computing device, and related methods, that enhance data analytics operations are provided. An analytics platform appliance associated with the intermediary computing device can obtain and parse a flow text file data structure to identify a transactional source system. A data extraction mechanism can obtain, from the transactional source system and based on information in the flow text file data structure, a source data structure. A data transform mechanism can generate, based on information in the flow text file data structure, a data model structure from the source data structure. The analytics platform appliance can identifies, from the flow text file data structure, presentation data instructions. A data load mechanism can access the data model structure create a display data structure based on the presentation data instructions. The intermediary computing device can provides the display data structure to the end user computing device.
    • 提供了增强数据分析操作的中间计算设备和相关方法。 与中间计算设备相关联的分析平台设备可以获得和解析流文本文件数据结构以识别事务源系统。 数据提取机制可以从事务源系统中获取流文本文件数据结构中的信息源数据结构。 数据转换机制可以根据流文本文件数据结构中的信息,从源数据结构生成数据模型结构。 分析平台设备可以从流文本文件数据结构中识别演示数据指令。 数据加载机制可以访问数据模型结构,基于表示数据指令创建显示数据结构。 中间计算设备可以向最终用户计算设备提供显示数据结构。
    • 3. 发明申请
    • METHOD AND SYSTEM OF ELECTRONIC SHOPPING AND BUSINESS EXPERIENCE
    • 电子商务与商业经验的方法与系统
    • WO2013038421A1
    • 2013-03-21
    • PCT/IN2011/000798
    • 2011-11-17
    • PERSISTENT SYSTEMS LIMITEDAGGARWAL, Ajay
    • AGGARWAL, Ajay
    • G06Q30/00
    • G06Q20/3276G06Q20/387G06Q30/0601
    • As outlined above, a clear need exists for an efficient and quick a method and system wherein, from receipts to returns, from coupons to loyalty programs, from intents -deals to purchases, the User and retailers are provided a better shopping and business experience. In accordance with the present invention, a User is enabled to shop from his mobile handheld (enabled with a camera such as Blackberry, iPhone or Android) with the aid of a Code (item, QR, Image or such other code) for each product displayed on banners at public places frequented by the Users. These places could be on the office premises of a Corporate Partner, a display, at Retail Partner venue (in case of service providers like multiplexes, malls, restaurants, etc).
    • 如上所述,清楚地需要一种有效和快速的方法和系统,其中从收据到返回,从优惠券到忠诚度计划,从意图到购买,向用户和零售商提供更好的购物和商业体验。 根据本发明,借助于每个产品的代码(项目,QR,图像或其他代码),用户能够从他的移动手持机购买(启用诸如黑莓,iPhone或Android的相机) 显示在用户经常光顾的公共场所的横幅上。 这些地方可以在公司合作伙伴的办公场所,展示架,零售合作伙伴场所(如服务提供商,如多功能厅,商场,餐馆等)。
    • 7. 发明申请
    • SYSTEM AND METHOD FOR INFERRING A NETWORK OF ASSOCIATIONS
    • 传播联盟网络的系统和方法
    • US20100005051A1
    • 2010-01-07
    • US12374762
    • 2007-07-25
    • Amit AgrawalRohit VaishampayanN/A Ashutoshi
    • Amit AgrawalRohit VaishampayanN/A Ashutoshi
    • G06N5/04
    • G06N5/022
    • A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.
    • 提出了一种网络关联挖掘算法和相关方法,它接受来自生物学和其他实验的数据,并自动产生一个网络,并尝试使用进化技术来解释生物或其他基于数据的系统的行为。 该模型和相关方法旨在确定与提供给系统的数据和其他现有知识一致的相互关系。 网络用耦合动力系统表示。 这些动力学系统由差分方程或差分方程表示,以便对这些动力学系统进行解耦并在它们之间进行耦合,使用了进化算法。 联动查找器的输出可以帮助科学家更好地了解潜在的系统并猜测替代数据。
    • 8. 发明授权
    • System and method for inferring a network of associations
    • 用于推断关联网络的系统和方法
    • US08332347B2
    • 2012-12-11
    • US12374762
    • 2007-07-25
    • Amit AgrawalRohit VaishampayanAshutosh
    • Amit AgrawalRohit VaishampayanAshutosh
    • G06N5/00
    • G06N5/022
    • A network association mining algorithm and associated methods are presented which accepts data from biological and other experiments and automatically produces a network and attempts to explain the behavior of the biological or other system underlying the data using evolutionary techniques. The model and associated methods aim to identify the inter-relationships consistent with data and other prior knowledge supplied to the system. The network is represented in terms of coupled dynamical system. These dynamical systems are represented by differential or difference equations to educe these dynamical systems and coupling between them, an evolutionary algorithm is used. The output of the linkage finder could assist scientists to better understand the systems underlying and to guess at surrogate data.
    • 提出了一种网络关联挖掘算法和相关方法,它接受来自生物学和其他实验的数据,并自动产生一个网络,并尝试使用进化技术来解释生物或其他基于数据的系统的行为。 该模型和相关方法旨在确定与提供给系统的数据和其他现有知识一致的相互关系。 网络用耦合动力系统表示。 这些动力学系统由差分方程或差分方程表示,以便对这些动力学系统进行解耦并在它们之间进行耦合,使用了进化算法。 联动查找器的输出可以帮助科学家更好地了解潜在的系统并猜测替代数据。