Similarity-based searching
    1.
    发明授权
    Similarity-based searching 有权
    基于相似性的搜索

    公开(公告)号:US08190592B1

    公开(公告)日:2012-05-29

    申请号:US13213768

    申请日:2011-08-19

    IPC分类号: G06F17/30

    CPC分类号: G06F17/3069

    摘要: Pairs of similar objects in a population of objects can be found using a process that includes identifying a comparison vector x in a set of vectors having non-zero features, determining an estimated similarity contribution of a subset of features of the comparison vector x to a similarity between the comparison vector x and each vector in the set of vectors, generating an index that includes features based on a comparison of the similarity contribution with a similarity threshold, and identifying another vector in the set that is similar to the vector x using the index.

    摘要翻译: 可以使用包括识别具有非零特征的一组向量中的比较矢量x的过程来找到对象群体中的对的对,确定比较矢量x的特征子集的估计的相似性贡献为a 在矢量集合中的比较矢量x和每个矢量之间的相似度,基于相似性贡献与相似性阈值的比较来生成包括特征的索引,以及使用相似度阈值识别与矢量x相似的集合中的另一矢量 指数。

    Query statistics provider
    2.
    发明授权
    Query statistics provider 有权
    查询统计提供者

    公开(公告)号:US08099412B2

    公开(公告)日:2012-01-17

    申请号:US12124487

    申请日:2008-05-21

    IPC分类号: G06F17/30

    摘要: A system to provide search query information. The system receives a request for search query information, identifies a set of search queries from a search query log that includes search queries submitted to a search service over a predetermined length of time, and provides the set of search queries. Each of the set of search queries is associated with at least a predetermined number of unique identifiers. Each of the set of search queries is matched to the request for search query information by a combination of exact matches, expanded matches, and broad matches.

    摘要翻译: 提供搜索查询信息的系统。 系统接收到搜索查询信息的请求,从搜索查询日志中识别一组搜索查询,其中包括在预定时间长度内提交给搜索服务的搜索查询,并提供搜索查询集合。 所述一组搜索查询中的每一个与至少预定数量的唯一标识符相关联。 通过精确匹配,扩展匹配和广泛匹配的组合,将搜索查询集合中的每一个与搜索查询信息的请求相匹配。

    Similarity-based searching
    3.
    发明授权
    Similarity-based searching 有权
    基于相似性的搜索

    公开(公告)号:US08041694B1

    公开(公告)日:2011-10-18

    申请号:US12059302

    申请日:2008-03-31

    IPC分类号: G06F17/30

    CPC分类号: G06F17/3069

    摘要: Pairs of similar vectors in a set of vectors are identified. A comparison vector x is identified, and a set of candidate vectors corresponding to the vector x is identified. For each candidate vector y in the set, a similarity estimate between the comparison vector x and the candidate vector y is determined; if the similarity estimate meets a similarity threshold, a similarity score of the comparison vector x and the candidate vector y is determined; and if the similarity score meets the similarity threshold, the pair of vectors (x, y) is included in a list of similar pairs of vectors.

    摘要翻译: 确定一组载体中相似载体的对。 识别比较矢量x,并且识别与矢量x相对应的一组候选矢量。 对于集合中的每个候选向量y,确定比较向量x和候选向量y之间的相似性估计; 如果相似性估计满足相似性阈值,则确定比较矢量x和候选矢量y的相似度得分; 并且如果相似性得分满足相似性阈值,则该对向量(x,y)被包括在类似的向量对的列表中。

    Interactive mining of most interesting rules with population constraints
    4.
    发明授权
    Interactive mining of most interesting rules with population constraints 有权
    最有趣的规则与人口约束的互动挖掘

    公开(公告)号:US06651048B1

    公开(公告)日:2003-11-18

    申请号:US09422657

    申请日:1999-10-22

    IPC分类号: G06F1730

    摘要: A method and structure for identifying database association rules includes mining first database association rules, the first database association rules having ratings with respect to a plurality of metrics and population constraints, selecting second database association rules from the first database association rules, each of the second database association rules having a highest rating with respect to a different metric of the metrics, and interactively changing the metrics and repeating the selecting to identify most important ones of the databases association rules for a given set of metrics.

    摘要翻译: 用于识别数据库关联规则的方法和结构包括挖掘第一数据库关联规则,关于多个度量和总体约束的等级的第一数据库关联规则,从第一数据库关联规则中选择第二数据库关联规则, 关于度量的不同度量具有最高评级的数据库关联规则,以及交互地改变度量并重复所述选择以识别给定的一组度量的数据库关联规则中最重要的一个。

    Similarity-based searching
    6.
    发明授权

    公开(公告)号:US08180756B1

    公开(公告)日:2012-05-15

    申请号:US13213760

    申请日:2011-08-19

    IPC分类号: G06F17/30

    CPC分类号: G06F17/3069

    摘要: Pairs of similar objects in a population of objects can be found using a process that includes identifying a comparison vector x in a set of vectors having non-zero features, determining an estimated similarity contribution of a subset of features of the comparison vector x to a similarity between the comparison vector x and each vector in the set of vectors, generating an index that includes features based on a comparison of the similarity contribution with a similarity threshold, and identifying another vector in the set that is similar to the vector x using the index.

    Similarity-based searching
    7.
    发明授权
    Similarity-based searching 有权
    基于相似性的搜索

    公开(公告)号:US08015190B1

    公开(公告)日:2011-09-06

    申请号:US12059318

    申请日:2008-03-31

    IPC分类号: G06F17/30

    CPC分类号: G06F17/3069

    摘要: Pairs of similar vectors (or objects) in a set of vectors (or objects) are identified. A comparison vector x in a set of vectors is identified; a size threshold is determined such that if a similarity between the vector x and a vector y in the set of vectors is equal to or greater than a similarity threshold, then the vector y has a size at least equal to the size threshold, the size of the candidate vector y being determined based on a number of non-zero features in the vector y. A vector having a size less than the size threshold is removed from the set of candidate vectors.

    摘要翻译: 识别一组向量(或对象)中的类似向量(或对象)的对。 识别一组向量中的比较向量x; 确定大小阈值,使得如果向量x和矢量集合中的向量y之间的相似度等于或大于相似性阈值,则矢量y的大小至少等于大小阈值,大小 基于向量y中的非零特征的数量来确定候选向量y。 具有尺寸小于尺寸阈值的矢量从候选矢量集合中去除。

    Uniform search system and method for selectively sharing distributed access-controlled documents
    8.
    发明授权
    Uniform search system and method for selectively sharing distributed access-controlled documents 失效
    用于选择性共享分布式访问控制文档的统一搜索系统和方法

    公开(公告)号:US07711727B2

    公开(公告)日:2010-05-04

    申请号:US12061698

    申请日:2008-04-03

    IPC分类号: G06F17/30

    摘要: A privacy-preserving index system addresses the problem of providing a privacy-preserving search over distributed access-controlled content. Indexed documents can be readily reconstructed from inverted indexes used in the search. The privacy-preserving index system builds a centralized privacy-preserving index in conjunction with a distributed access-control enforcing search protocol. The privacy-preserving index utilizes a randomized algorithm for constructing a privacy-preserving index. The privacy-preserving index is strongly resilient to privacy breaches. The privacy-preserving index system allows content providers to maintain complete control in defining access groups and ensuring its compliance, and further allows system implementors to retain tunable knobs to balance privacy and efficiency concerns for their particular domains.

    摘要翻译: 隐私保护索引系统解决了在分布式访问控制内容上提供隐私保护搜索的问题。 索引文档可以从搜索中使用的倒排索引轻松重建。 隐私保护索引系统与分布式访问控制执行搜索协议结合构建集中的隐私保护索引。 隐私保护索引利用随机算法构建隐私保护索引。 隐私保护指数对隐私违规行为具有强大的抵御能力。 隐私保护索引系统允许内容提供商在定义访问组并确保其遵从性时保持完全的控制,并且还允许系统实现者保留可调谐旋钮以平衡其特定域的隐私和效率问题。

    Using previous user search query to target advertisements
    9.
    发明授权
    Using previous user search query to target advertisements 有权
    使用先前的用户搜索查询来定位广告

    公开(公告)号:US08380563B2

    公开(公告)日:2013-02-19

    申请号:US12145977

    申请日:2008-06-25

    IPC分类号: G06Q40/00

    摘要: A system and method to target advertisements to a user search query using a previously entered user search query as well as the current search query. The previously entered search query can accompanying the current search query in a query referrer, or can be determined separately from the current search query. The relevance of the previous search query is determined with respect to the current search query, and if found relevant a combination of the two query terms is used to find a set of advertising keywords from which candidate advertisements to be targeted and served to the user with search results are found. The process can be extended to additional search queries.

    摘要翻译: 一种使用先前输入的用户搜索查询以及当前搜索查询将广告定位到用户搜索查询的系统和方法。 先前输入的搜索查询可以伴随查询引用者中的当前搜索查询,或者可以与当前搜索查询分开确定。 先前的搜索查询的相关性是针对当前的搜索查询确定的,如果发现相关性,则使用两个查询词语的组合来找到一组广告关键词,从而将候选广告定位并向用户提供服务, 搜索结果找到。 该过程可以扩展到其他搜索查询。

    Using Previous User Search Query To Target Advertisements
    10.
    发明申请
    Using Previous User Search Query To Target Advertisements 有权
    使用上一个用户搜索查询来定位广告

    公开(公告)号:US20090006207A1

    公开(公告)日:2009-01-01

    申请号:US12145977

    申请日:2008-06-25

    IPC分类号: G06Q30/00 G06F17/30

    摘要: A system and method to target advertisements to a user search query using a previously entered user search query as well as the current search query. The previously entered search query can accompanying the current search query in a query referrer, or can be determined separately from the current search query. The relevance of the previous search query is determined with respect to the current search query, and if found relevant a combination of the two query terms is used to find a set of advertising keywords from which candidate advertisements to be targeted and served to the user with search results are found. The process can be extended to additional search queries.

    摘要翻译: 一种使用先前输入的用户搜索查询以及当前搜索查询将广告定位到用户搜索查询的系统和方法。 先前输入的搜索查询可以伴随查询引用者中的当前搜索查询,或者可以与当前搜索查询分开确定。 先前的搜索查询的相关性是针对当前的搜索查询确定的,如果发现相关性,则使用两个查询词语的组合来找到一组广告关键词,从而将候选广告定位并向用户提供服务, 搜索结果找到。 该过程可以扩展到其他搜索查询。