SYSTEM AND METHOD FOR COMMUNITY AIDED RESEARCH AND SHOPPING
    2.
    发明申请
    SYSTEM AND METHOD FOR COMMUNITY AIDED RESEARCH AND SHOPPING 审中-公开
    社区辅助研究和购物的系统与方法

    公开(公告)号:US20140032368A1

    公开(公告)日:2014-01-30

    申请号:US14028225

    申请日:2013-09-16

    Applicant: eBay Inc.

    Abstract: A system and method for providing product research help to a consumer doing internet shopping. A consumer helper application for internet commerce has been designed to integrate the techniques that are currently used by many internet consumers into a single application program. For example, the consumer helper application allows a user to take notes, store web site links, store web site annotations, obtain collaborative input, and perform other tasks commonly used by web site consumers. The consumer helper application stores all of the information gathered in a single place. Information provided by other consumers may be shared using the consumer helper application. The consumer helper application will suggest specific items for a consumer to purchase based up on the information gathered by the consumer into the consumer helper application.

    Abstract translation: 提供产品研究的系统和方法可帮助消费者进行互联网购物。 用于互联网商务的消费者帮助应用程序被设计为将许多互联网消费者当前使用的技术集成到单个应用程序中。 例如,消费者帮助应用程序允许用户记录,存储网站链接,存储网站注释,获得协作输入,以及执行网站消费者常用的其他任务。 消费者帮助应用程序将收集到的所有信息存储在一个地方。 其他消费者提供的信息可以使用消费者帮助应用程序共享。 消费者帮助应用程序将根据消费者收集到消费者帮助应用程序中的信息来建议消费者购买的具体项目。

    HEADER-TOKEN DRIVEN AUTOMATIC TEXT SEGMENTATION

    公开(公告)号:US20150261761A1

    公开(公告)日:2015-09-17

    申请号:US14724269

    申请日:2015-05-28

    Applicant: eBay Inc.

    Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

    Abstract translation: 描述了一种基于标题令牌自动分割文本的方法和系统。 在描述中为每个令牌确定相关性值和不相关性值,假设没有令牌被遗漏在计算之外。 不相关值基于描述样本集中令牌的出现。 相关性值是基于正被分割的描述的标题的估计的相关概率。

    HEADER-TOKEN DRIVEN AUTOMATIC TEXT SEGMENTATION

    公开(公告)号:US20140172858A1

    公开(公告)日:2014-06-19

    申请号:US14100990

    申请日:2013-12-09

    Applicant: eBay Inc.

    Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

    Abstract translation: 描述了一种基于标题令牌自动分割文本的方法和系统。 在描述中为每个令牌确定相关性值和不相关性值,假设没有令牌被遗漏在计算之外。 不相关值基于描述样本集中令牌的出现。 相关性值是基于正被分割的描述的标题的估计的相关概率。

    Header-token driven automatic text segmentation
    6.
    发明授权
    Header-token driven automatic text segmentation 有权
    标题令牌驱动的自动文本分割

    公开(公告)号:US09053091B2

    公开(公告)日:2015-06-09

    申请号:US14100990

    申请日:2013-12-09

    Applicant: eBay Inc.

    Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

    Abstract translation: 描述了一种基于标题令牌自动分割文本的方法和系统。 在描述中为每个令牌确定相关性值和不相关性值,假设没有令牌被遗漏在计算之外。 不相关值基于描述样本集中令牌的出现。 相关性值是基于正被分割的描述的标题的估计的相关概率。

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