Adpost: a centralized advertisement platform
    62.
    发明申请
    Adpost: a centralized advertisement platform 审中-公开
    Adpost:一个集中的广告平台

    公开(公告)号:US20060259356A1

    公开(公告)日:2006-11-16

    申请号:US11127130

    申请日:2005-05-12

    IPC分类号: G06Q30/00

    CPC分类号: G06Q30/02 G06Q30/0256

    摘要: A method is provided to ubiquitously promote products or services provided by a plurality of advertisers across a plurality of content-based applications. The method may include receiving data from the plurality of advertisers describing the products or services provided by the plurality of advertisers. The received data is stored in an advertisement database where a user may subsequently query the advertisement database to locate data promoting a product or service. Additionally, terms and payment data are extracted from the received advertisement data to efficiently promote the products or services provided by the advertiser across the plurality of content-based applications.

    摘要翻译: 提供了一种在多个基于内容的应用程序中无处不在地促进由多个广告商提供的产品或服务的方法。 该方法可以包括从多个广告商接收描述由多个广告商提供的产品或服务的数据。 所接收的数据被存储在广告数据库中,用户随后可以查询广告数据库以定位促销产品或服务的数据。 此外,从接收到的广告数据中提取术语和支付数据,以有效地促进广告商在多个基于内容的应用程序中提供的产品或服务。

    Non-volatile ferroelectric SRAM
    66.
    发明授权
    Non-volatile ferroelectric SRAM 有权
    非易失性铁电SRAM

    公开(公告)号:US06996000B2

    公开(公告)日:2006-02-07

    申请号:US10961429

    申请日:2004-10-07

    IPC分类号: G11C7/00

    CPC分类号: G11C11/22

    摘要: A non-volatile SRAM memory comprising a plurality of memory cells, each memory cell including a SRAM memory cell portion and a ferroelectric memory cell portion including a ferroelectric element, the ferroelectric memory cell portion including a switch system for permitting the ferroelectric element to be isolated from the ferroelectric elements in all other memory cells.

    摘要翻译: 一种包括多个存储单元的非易失性SRAM存储器,每个存储单元包括一个SRAM存储单元部分和一个包括铁电元件的铁电存储单元部分,该铁电存储单元部分包括用于允许该铁电元件被隔离的开关系统 从所有其他记忆单元中的铁电元件。

    Method and system for calculating document importance using document classifications
    67.
    发明申请
    Method and system for calculating document importance using document classifications 有权
    使用文件分类计算文件重要性的方法和系统

    公开(公告)号:US20060004809A1

    公开(公告)日:2006-01-05

    申请号:US10881812

    申请日:2004-06-30

    IPC分类号: G06F17/00

    摘要: A system for calculating the importance of web pages is provided. The web pages are organized hierarchically into collections. The system calculates the importance of each collection based on inter-collection links from a web page in one collection to a web page in another collection. The system then calculates the importance of web pages in the collections with a high calculated importance based on links between the web pages in those collections using, for example, a conventional page rank algorithm. The system may also calculate the importance of web pages in each collection with a low calculated importance separately based on the links between the web pages in the collection using, for example, a conventional page rank algorithm.

    摘要翻译: 提供了一种用于计算网页重要性的系统。 网页分层组织成集合。 系统基于从一个集合中的网页到另一个集合中的网页的集合间链接来计算每个集合的重要性。 然后,该系统使用例如常规页面排序算法,基于这些集合中的网页之间的链接来计算具有高计算重要性的集合中的网页的重要性。 该系统还可以基于使用例如常规页面排序算法的集合中的网页之间的链接来分别计算具有低计算重要性的每个集合中的网页的重要性。

    Statistical bigram correlation model for image retrieval
    70.
    发明授权
    Statistical bigram correlation model for image retrieval 失效
    图像检索统计二值相关模型

    公开(公告)号:US06901411B2

    公开(公告)日:2005-05-31

    申请号:US10074941

    申请日:2002-02-11

    IPC分类号: G06F17/30

    摘要: The disclosed subject matter improves iterative results of content-based image retrieval (CBIR) using a bigram model to correlate relevance feedback. Specifically, multiple images are received responsive to multiple image search sessions. Relevance feedback is used to determine whether the received images are semantically relevant. A respective semantic correlation between each of at least one pair of the images is then estimated using respective bigram frequencies. The bigram frequencies are based on multiple search sessions in which each image of a pair of images is semantically relevant.

    摘要翻译: 所公开的主题改进了基于内容的图像检索(CBIR)的迭代结果,其使用二元模型来相关联反馈。 具体地,响应于多个图像搜索会话接收多个图像。 相关性反馈用于确定接收的图像是否具有语义相关性。 然后使用相应的二进制频率来估计至少一对图像中的每一个之间的相应语义相关性。 双频频率基于多个搜索会话,其中一对图像的每个图像在语义上相关。