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    Data replication framework
    2.
    发明授权
    Data replication framework 有权
    数据复制框架

    公开(公告)号：US08554762B1

    公开(公告)日：2013-10-08

    申请号：US12980193

    申请日：2010-12-28

    申请人： Brian S. O'Neill ,  Jason Shijia Long ,  Archit Shivaprakash ,  Olga I. Kuznetsova

    发明人： Brian S. O'Neill ,  Jason Shijia Long ,  Archit Shivaprakash ,  Olga I. Kuznetsova

    IPC分类号： G06F17/30 ,  G06F17/00

    CPC分类号： G06F17/30578 ,  G06F17/30194 ,  G06F17/30424 ,  G06F17/30442 ,  G06F17/30575 ,  G06F17/30584

    摘要： Generally described, the present disclosure is directed to an eventually consistent replicated data store that uses, for its underlying storage, a computer software library that provides a high-performance embedded database for data. The replicated data store employs a plurality of hosts interconnected to one another, allowing for writes to any host and full awareness of membership across all hosts. With the data replication framework disclosed herein, various modes are allowed to be built up on top of the core system.

    摘要翻译： 通常描述，本公开针对最终一致的复制数据存储，其为其底层存储使用为数据提供高性能嵌入式数据库的计算机软件库。 复制的数据存储器使用彼此互连的多个主机，允许对任何主机的写入和对所有主机的成员资格的全面了解。 利用本文公开的数据复制框架，允许在核心系统之上建立各种模式。

    Automatic review excerpt extraction
    4.
    发明授权
    Automatic review excerpt extraction 有权
    自动回顾摘录

    公开(公告)号：US09405825B1

    公开(公告)日：2016-08-02

    申请号：US12893598

    申请日：2010-09-29

    申请人： Olga I. Kuznetsova ,  Logan Luyet Dillard ,  Jason Roselander ,  Terrence R. Nightingale ,  Brandon W. Porter

    发明人： Olga I. Kuznetsova ,  Logan Luyet Dillard ,  Jason Roselander ,  Terrence R. Nightingale ,  Brandon W. Porter

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/0282 ,  G06F17/30675 ,  G06F17/30719 ,  G06F17/30867

    摘要： Disclosed are various embodiments for extracting a representative review excerpt from a plurality of reviews associated with an item available for purchase in an electronic commerce system. A review extractor identifies a lexicon appearing in the reviews and associates each of the reviews with at least one category where the categories are based on the identified common lexicon. The review extractor then ranks the categories according to a ranking of attributes specified by consumer preferences. Upon ranking the categories, the review extractor then extracts a representative review excerpt based on a correlation between the number of reviews associated with each category and the ranking of that category as indicated by the consumer preferences.

    摘要翻译： 公开了用于从与电子商务系统中可购买的商品相关联的多个评论中提取代表性审阅摘录的各种实施例。 审查提取器识别审查中出现的词典，并将每个评论与至少一个类别相关联，其中类别基于所识别的常见词典。 然后，审查提取器根据消费者偏好指定的属性排名对类别进行排序。 在对类别进行排名时，审查提取器然后基于与每个类别相关联的评论数与由消费者偏好所指示的该类别的排名之间的相关性来提取代表性审阅摘录。

    Determining search relevance from user feedback
    5.
    发明授权
    Determining search relevance from user feedback 有权
    确定用户反馈的搜索相关性

    公开(公告)号：US08903817B1

    公开(公告)日：2014-12-02

    申请号：US13216031

    申请日：2011-08-23

    申请人： Kelly L. Duggar ,  Llewellyn J. Mason ,  Olga I. Kuznetsova ,  Peter V. Commons

    发明人： Kelly L. Duggar ,  Llewellyn J. Mason ,  Olga I. Kuznetsova ,  Peter V. Commons

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30702 ,  G06F17/30864

    摘要： Disclosed are various embodiments for using relevance indications provided by a user in performing a search. Search results corresponding to a search query are provided to a user of a client computing device. The user provides a relevance indication corresponding to relevance of at least one of the search results. A subsequent search is performed which takes the relevance indication into account.

    摘要翻译： 公开了用于使用用户执行搜索的相关性指示的各种实施例。 将与搜索查询相对应的搜索结果提供给客户端计算设备的用户。 用户提供对应于至少一个搜索结果的相关性的相关性指示。 执行后续的搜索，其考虑相关性指示。