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    • 3. 发明申请
    • SEARCHING HETEROGENEOUS INTERRELATED ENTITIES
    • 搜索异构中介实体
    • US20080215565A1
    • 2008-09-04
    • US11853613
    • 2007-09-11
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • G06F17/30
    • G06F17/30867
    • Systems and methods for searching heterogeneous interrelated entities for a heterogeneous entities search query are disclosed herein. A user may enter the heterogeneous entities search query. The search retrieves and returns multiple types of heterogeneous entities. The retrieved heterogeneous interrelated entities are searched in a unified matrix that represents relationships between one or more heterogeneous entities. The retrieved heterogeneous interrelated entities may have one or more entity types. The set of retrieved interrelated entities may also be ranked based on the similarity between each entity and the search query. Feedback may also be incorporated into the system to improve search accuracy.
    • 本文公开了用于异构实体搜索查询的异构相关实体的搜索的系统和方法。 用户可以输入异构实体搜索查询。 搜索检索并返回多种类型的异构实体。 检索到的异构相关实体在表示一个或多个异构实体之间的关系的统一矩阵中进行搜索。 所检索的异构相关实体可以具有一个或多个实体类型。 还可以根据每个实体和搜索查询之间的相似性对所检索的相关实体的集合进行排名。 反馈也可以并入系统以提高搜索精度。
    • 4. 发明授权
    • Searching heterogeneous interrelated entities
    • 搜索异构相关实体
    • US07849104B2
    • 2010-12-07
    • US11853613
    • 2007-09-11
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • Jian-Tao SunXuanhui WangNing LiuZheng ChenJian Wang
    • G06F7/00
    • G06F17/30867
    • Systems and methods for searching heterogeneous interrelated entities for a heterogeneous entities search query are disclosed herein. A user may enter the heterogeneous entities search query. The search retrieves and returns multiple types of heterogeneous entities. The retrieved heterogeneous interrelated entities are searched in a unified matrix that represents relationships between one or more heterogeneous entities. The retrieved heterogeneous interrelated entities may have one or more entity types. The set of retrieved interrelated entities may also be ranked based on the similarity between each entity and the search query. Feedback may also be incorporated into the system to improve search accuracy.
    • 本文公开了用于异构实体搜索查询的异构相关实体的搜索的系统和方法。 用户可以输入异构实体搜索查询。 搜索检索并返回多种类型的异构实体。 检索到的异构相关实体在表示一个或多个异构实体之间的关系的统一矩阵中进行搜索。 所检索的异构相关实体可以具有一个或多个实体类型。 还可以根据每个实体和搜索查询之间的相似性对所检索的相关实体的集合进行排名。 反馈也可以并入系统以提高搜索精度。
    • 7. 发明授权
    • Web searching
    • 网页搜索
    • US07836058B2
    • 2010-11-16
    • US12056302
    • 2008-03-27
    • Kumar H. ChellapillaAnton MityaginXuanhui Wang
    • Kumar H. ChellapillaAnton MityaginXuanhui Wang
    • G06F17/30
    • G06F17/30864
    • Mislabeled URLs are identified and corrected based upon a click relevance ranking computed from user data comprising user click information. The click relevance ranking is formed by applying a set of relevance ordering rules to user log data aggregated by query and URL and by mapping the results of the relevance ordering rules into a linear ordering. For a given query, the aggregated user log data comprises a relative total number of impression, a relative total number of clicks received and a rank associated with the query/URL pair at the time of the total number of impressions and total number of clicks received. The click relevance ranking is used to identify and correct mislabeled query/URL pairs of other rankings according to a number of disclosed methods.
    • 基于由包括用户点击信息的用户数据计算的点击相关性排名来识别和纠正错误标记的URL。 通过将一组相关性排序规则应用于通过查询和URL聚合的用户日志数据并将相关性排序规则的结果映射为线性排序来形成点击相关性排名。 对于给定的查询,聚合用户日志数据包括相对总曝光次数,接收的相对总点击次数和与查看/ URL对相关联的排名以及总共接收的点击次数 。 点击相关性排名用于根据所公开的方法的数量来识别和纠正其他排名的错误标记的查询/ URL对。
    • 9. 发明授权
    • Web searching
    • 网页搜索
    • US08768919B2
    • 2014-07-01
    • US13599543
    • 2012-08-30
    • Kumar ChellapillaAnton MityaginXuanhui Wang
    • Kumar ChellapillaAnton MityaginXuanhui Wang
    • G06F7/00G06F17/30
    • G06F17/30864
    • A human or hand-labeled ranking of URL results for a search query is compared against actual click data for the respective query/URL pairs (e.g., which URLs were actually clicked on by users when the URLs were presented to users when the search query was run in the real world). The human ranking or ordering of the URL results (e.g., pre-existing relevance ranking) for the query can then be adjusted, if necessary, based upon the real world click data (e.g., click relevance ranking). The modified pre-existing relevance ranking can be used in providing future search results.
    • 将搜索查询的URL结果的人或手标记的排序与相应查询/ URL对的实际点击数据进行比较(例如,当搜索查询为当用户显示URL时,用户实际点击了哪些URL 在现实世界中运行)。 然后,如果需要,可以基于真实世界点击数据(例如,点击相关性排名)来调整查询的URL结果的人类排名或排序(例如,预先存在的相关性排名)。 修改的预先存在的相关性排名可用于提供未来的搜索结果。
    • 10. 发明授权
    • Related news articles
    • 相关新闻文章
    • US08713028B2
    • 2014-04-29
    • US13298932
    • 2011-11-17
    • Taesup MoonZhaohui ZhengYi ChangPranam KolariXuanhui WangYuanhua Lv
    • Taesup MoonZhaohui ZhengYi ChangPranam KolariXuanhui WangYuanhua Lv
    • G06F17/30
    • G06F17/30864G06F17/30967G06F17/30994
    • Methods, systems, and computer programs are presented for providing internet content, such as related news articles. One method includes an operation for defining a plurality of candidates based on a seed. For each candidate, scores are calculated for relevance, novelty, connection clarity, and transition smoothness. The score for connection clarity is based on a relevance score of the intersection between the words in the seed and the words in each of the candidates. Further, the score for transition smoothness measures the interest in reading each candidate when transitioning from the seed to the candidate. For each candidate, a relatedness score is calculated based on the calculated scores for relevance, novelty, connection clarity, and transition smoothness. In addition, at least one of the candidates is selected based on their relatedness scores for presentation to the user.
    • 提供方法,系统和计算机程序,用于提供互联网内容,如相关的新闻文章。 一种方法包括基于种子定义多个候选的操作。 对于每个候选人,计算相关性,新颖性,连接清晰度和过渡平滑度的分数。 连接清晰度的分数基于种子中的单词和每个候选词中的单词之间的交集的相关性分数。 此外,过渡平滑度的得分衡量了从种子转移到候选人时阅读每个候选人的兴趣。 对于每个候选人,根据相关性,新颖性,连接清晰度和过渡平滑度的计算分数计算相关性分数。 此外,基于用于呈现给用户的相关性分数来选择至少一个候选者。