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    CONCEPT EXTRACTION USING TITLE AND EMPHASIZED TEXT
    1.
    发明申请
    CONCEPT EXTRACTION USING TITLE AND EMPHASIZED TEXT 审中-公开
    使用标题和经典文本概念提取

    公开(公告)号：US20110258202A1

    公开(公告)日：2011-10-20

    申请号：US12761264

    申请日：2010-04-15

    申请人： Rajyashree Mukherjee ,  Yongzheng Zhang ,  Benny Soetarman

    发明人： Rajyashree Mukherjee ,  Yongzheng Zhang ,  Benny Soetarman

    IPC分类号： G06F17/30

    CPC分类号： G06F16/313

    摘要： A concept extraction machine accesses textual data of a document. The document comprises text and a title, and the textual data comprises the title and the text of the document. The concept extraction machine identifies a portion of the text as a text token. The concept extraction machine identifies the text token based on the portion of the text appearing in the emphasized text and in the title. The concept extraction machine further calculates a relevance value of the text token based on the textual data. The relevance value represents a probability that the text token is relevant to a concept expressed in the document. Based on the relevance value, the concept extraction machine stores the text token as concept metadata of the document. The concept extraction machine indexes the concept metadata and searches the concept metadata to identify the document in response to a search request.

    摘要翻译： 概念提取机器访问文档的文本数据。 该文件包括文本和标题，并且文本数据包括文档的标题和文本。 概念提取机将文本的一部分标识为文本标记。 概念提取机器根据出现在强调文本和标题中的部分文本识别文本标记。 概念提取机进一步基于文本数据计算文本标记的相关值。 相关性值表示文本标记与文档中表达的概念相关的概率。 基于相关性值，概念提取机器将文本标记作为文档的概念元数据存储。 概念提取机器对概念元数据进行索引，并根据搜索请求搜索概念元数据以识别文档。

    SYSTEM AND METHOD OF PREDICTING PURCHASE BEHAVIORS FROM SOCIAL MEDIA
    2.
    发明申请
    SYSTEM AND METHOD OF PREDICTING PURCHASE BEHAVIORS FROM SOCIAL MEDIA 审中-公开
    从社会媒体预测购买行为的系统和方法

    公开(公告)号：US20140244361A1

    公开(公告)日：2014-08-28

    申请号：US14103062

    申请日：2013-12-11

    申请人： Yongzheng Zhang ,  Marco Pennacchiotti

    发明人： Yongzheng Zhang ,  Marco Pennacchiotti

    IPC分类号： G06Q30/02

    CPC分类号： G06Q30/0204

    摘要： In an example embodiment, a first social media profile is retrieved. Express interests in the first social media profile are extracted, and social media categories corresponding to the express interests are identified. Demographic information is also extracted from the first social media profile. Then, the identified social media categories and demographic information are correlated with ecommerce categories of purchases. Using results from the correlating, a machine learning process is configured, the machine learning process accepting a second social media profile as input and returning a prediction of an ecommerce category as output.

    摘要翻译： 在示例实施例中，检索第一社交媒体简档。 提取对第一个社交媒体简介的兴趣，确定与特定兴趣相对应的社交媒体类别。 人口信息也从第一个社交媒体简介中提取出来。 然后，所识别的社交媒体类别和人口信息与购买的电子商务类别相关联。 使用相关的结果，配置机器学习过程，机器学习过程接受第二社交媒体简档作为输入并返回电子商务类别的预测作为输出。

    Detecting competitive product reviews
    4.
    发明授权
    Detecting competitive product reviews 有权
    检测有竞争力的产品评论

    公开(公告)号：US08620906B2

    公开(公告)日：2013-12-31

    申请号：US12614164

    申请日：2009-11-06

    申请人： Dan Shen ,  Shen Huang ,  Yongzheng Zhang ,  Catherine Baudin ,  Qiang Wang

    发明人： Dan Shen ,  Shen Huang ,  Yongzheng Zhang ,  Catherine Baudin ,  Qiang Wang

    IPC分类号： G06F17/27 ,  G06F17/30

    CPC分类号： G06Q30/0282 ,  G06F17/248

    摘要： One embodiment provides a system for recommending products. The system may include a search engine to retrieve, from a collection of product reviews, product review results using at least two input product names. The system may also include a template builder to build comparative sentence templates to define relationships between at least two product names, in which each comparative sentence template has a weight as a function of the defined relationship, and the search engine extracts one or more snippets matching at least one of the comparative sentence templates within each product review result. The system may further include a review ranking device to rank the product review search results based on the one or more extracted snippets, in which each snippet has a same weight as its matched comparative sentence template.

    摘要翻译： 一个实施例提供了一种用于推荐产品的系统。 系统可以包括搜索引擎，以从产品评论的集合中检索使用至少两个输入产品名称的产品评论结果。 系统还可以包括模板构建器以构建比较语句模板以定义至少两个产品名称之间的关系，其中每个比较语句模板具有作为定义的关系的函数的权重，并且搜索引擎提取匹配的一个或多个片段 每个产品评论结果中的至少一个比较句子模板。 该系统可以进一步包括审查排名装置，以基于一个或多个提取的片段对产品评论搜索结果进行排名，其中每个片段与其匹配的比较文本模板具有相同的权重。

    DETECTING COMPETITIVE PRODUCT REVIEWS
    6.
    发明申请
    DETECTING COMPETITIVE PRODUCT REVIEWS 有权
    检测竞争产品评论

    公开(公告)号：US20110113027A1

    公开(公告)日：2011-05-12

    申请号：US12614164

    申请日：2009-11-06

    申请人： Dan Shen ,  Shen Huang ,  Yongzheng Zhang ,  Catherine Baudin ,  Olang Wang

    发明人： Dan Shen ,  Shen Huang ,  Yongzheng Zhang ,  Catherine Baudin ,  Olang Wang

    IPC分类号： G06F17/30 ,  G06F17/27

    CPC分类号： G06Q30/0282 ,  G06F17/248

    摘要： One embodiment provides a system for recommending products. The system may include a search engine to retrieve, from a collection of product reviews, product review results using at least two input product names. The system may also include a template builder to build comparative sentence templates to define relationships between at least two product names, in which each comparative sentence template has a weight as a function of the defined relationship, and the search engine extracts one or more snippets matching at least one of the comparative sentence templates within each product review result. The system may further include a review ranking device to rank the product review search results based on the one or more extracted snippets, in which each snippet has a same weight as its matched comparative sentence template.

    摘要翻译： 一个实施例提供了一种用于推荐产品的系统。 系统可以包括搜索引擎，以从产品评论的集合中检索使用至少两个输入产品名称的产品评论结果。 系统还可以包括模板构建器以构建比较语句模板以定义至少两个产品名称之间的关系，其中每个比较语句模板具有作为定义的关系的函数的权重，并且搜索引擎提取匹配的一个或多个片段 每个产品评论结果中的至少一个比较句子模板。 该系统可以进一步包括审查排名装置，以基于一个或多个提取的片段对产品评论搜索结果进行排名，其中每个片段与其匹配的比较文本模板具有相同的权重。

    SYSTEM AND METHOD FOR TOPIC EXTRACTION AND OPINION MINING
    8.
    发明申请
    SYSTEM AND METHOD FOR TOPIC EXTRACTION AND OPINION MINING 有权
    用于主题提取和意见采矿的系统和方法

    公开(公告)号：US20110078167A1

    公开(公告)日：2011-03-31

    申请号：US12568583

    申请日：2009-09-28

    申请人： Neelakantan Sundaresan ,  Yongzheng Zhang ,  Catherine Baudin ,  Dan Shen ,  Shen Huang

    发明人： Neelakantan Sundaresan ,  Yongzheng Zhang ,  Catherine Baudin ,  Dan Shen ,  Shen Huang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30011 ,  G06F17/2785 ,  G06F17/30253 ,  G06F17/30675 ,  G06F17/30684 ,  G06F17/30731 ,  G06Q10/00 ,  G06Q30/00

    摘要： Methods, apparatus, and systems to determine a niche market of items or services, the first phase of which identifies a gap between demand and supply for a set of items. Session logs may be evaluated to compare transactions involving a specific item to those of a larger group of items. The resultant information identifies areas of high demand, but with low availability. The niche market information may be provided as direct merchandising items for sellers. In one example, the method generates niche market item web pages in specific categories. Additional methods, apparatus, and systems are disclosed.

    摘要翻译： 确定项目或服务的利基市场的方法，设备和系统，其第一阶段确定一组项目的供需之间的差距。 可以评估会话日志以将涉及特定项目的事务与较大组项目的事务进行比较。 所得信息确定需求高的地区，但可用性低。 利基市场信息可以作为卖家的直销商品提供。 在一个示例中，该方法在特定类别中生成利基市场项目网页。 公开了附加的方法，装置和系统。