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    • 83. 发明授权
    • Nonvolatile memory devices and methods of manufacturing the same
    • 非易失存储器件及其制造方法
    • US08264026B2
    • 2012-09-11
    • US12694655
    • 2010-01-27
    • Sung-Hae LeeByong-Sun JuSuk-Jin ChungYoung-Sun Kim
    • Sung-Hae LeeByong-Sun JuSuk-Jin ChungYoung-Sun Kim
    • H01L21/336H01L29/76
    • H01L27/11521H01L21/28273H01L29/42324
    • Nonvolatile memory devices and related methods of manufacturing the same are provided. A nonvolatile memory device includes a tunneling layer on a substrate, a floating gate on the tunneling layer, an inter-gate dielectric layer structure on the floating gate, and a control gate on the inter-gate dielectric layer structure. The inter-gate dielectric layer structure includes a first silicon oxide layer, a high dielectric layer on the first silicon oxide layer, and a second silicon oxide layer on the high dielectric layer opposite to the first silicon oxide layer The high dielectric layer may include first and second high dielectric layers laminated on each other, and the first high dielectric layer may have a lower density of electron trap sites than the second high dielectric layer and may have a larger energy band gap or conduction band-offset than the second high dielectric layer.
    • 提供了非易失性存储器件及其制造方法。 非易失性存储器件包括衬底上的隧道层,隧道层上的浮动栅极,浮置栅极上的栅极间电介质层结构以及栅极间电介质层结构上的控制栅极。 栅极间电介质层结构包括第一氧化硅层,第一氧化硅层上的高电介质层和与第一氧化硅层相对的高电介质层上的第二氧化硅层。高电介质层可以包括第一氧化硅层 和第二高介电层彼此层叠,并且第一高介电层可以具有比第二高介电层更低的电子陷阱位置密度,并且可以具有比第二高介电层更大的能带隙或导带偏移 。
    • 86. 发明申请
    • GENERATING ADVERTISEMENTS DURING INTERACTIVE ADVERTISING SESSIONS
    • 在互动广告会议期间产生广告
    • US20120150633A1
    • 2012-06-14
    • US12963286
    • 2010-12-08
    • Wook Jin ChungPritesh PatwaMartin Miroslavov Markov
    • Wook Jin ChungPritesh PatwaMartin Miroslavov Markov
    • G06Q30/00
    • G06Q30/0241G06Q30/0251
    • A method, computer readable media, and computer system for generating advertisement messages are provided. The computer system includes an advertisement engine and an advanced interactive platform that receive user events. The advanced interactive platform selects response templates associated with user events received from a user. In turn, the advanced interactive platform transmits the response templates to the advertisement engine. The advertisement engine processes the response template and populates the response template with advertising hints to dynamically generate advertisement messages. The advertisement engine may include indicators that solicit user feedback in the advertisement message. The user feedback received by the advanced interactive platform triggers additional user events that are used to generate additional advertisements and to discover interests of the user.
    • 提供了一种用于生成广告消息的方法,计算机可读介质和计算机系统。 计算机系统包括广告引擎和接收用户事件的高级交互式平台。 高级交互式平台选择与从用户接收的用户事件相关联的响应模板。 反过来,高级交互式平台将响应模板发送到广告引擎。 广告引擎处理响应模板,并用广告提示填充响应模板以动态生成广告消息。 广告引擎可以包括在广告消息中征求用户反馈的指示符。 由高级交互式平台接收的用户反馈触发用于产生附加广告并发现用户兴趣的附加用户事件。
    • 88. 发明申请
    • ADVERTISING TARGETING BASED ON IMAGE-DERIVED METRICS
    • 基于图像衍生度量的广告目标
    • US20120054039A1
    • 2012-03-01
    • US12869372
    • 2010-08-26
    • Pritesh PatwaWook Jin Chung
    • Pritesh PatwaWook Jin Chung
    • G06Q30/00G06F17/30
    • G06Q30/0258G06Q30/00G06Q30/0241G06Q30/0251G06Q30/0269G06Q30/0271
    • Advertising targeting metrics for individuals can be derived from images associated with those individuals. Such advertising targeting metrics can include physical attributes, as well as preferences based on prior activity, or history. Public images associated with specific user identities can be processed and advertising targeting metrics can be derived therefrom to more accurately tailor the advertisements displayed to the individuals associated with those user identities. Additionally, non-public images can be likewise processed, either remotely or, for greater privacy, locally if so allowed by the user. Advertisers can then utilize the greater breath of advertising targeting metrics that can be derived from images to more accurately target advertisements to specific groups. In doing so, advertisers can submit their own images of exemplary targeted users, and the targeting metrics for those advertisers' advertisements can be automatically derived from the submitted images utilizing equivalent algorithms.
    • 针对个人的广告定位指标可以从与这些个人相关联的图像中导出。 这种广告定位指标可以包括物理属性,以及基于先前活动或历史的偏好。 可以处理与特定用户身份相关联的公共图像,并且可以从其导出广告定向度量,以更准确地定制显示给与这些用户身份相关联的个人的广告。 另外,如果用户允许的话,非公开的图像也可以远程地或者为了更大的隐私来进行本地处理。 然后,广告商可以利用可以从图像导出的更广泛的广告定向度量的更大的呼吸,以更准确地将广告定向到特定的组。 在这样做时,广告客户可以提交自己的示例性目标用户的图像,并且可以使用等效的算法从提交的图像中自动导出那些广告主的广告的定位度量。