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    • 1. 发明授权
    • Semi-supervised part-of-speech tagging
    • 半监督的词性标签
    • US08099417B2
    • 2012-01-17
    • US11954216
    • 2007-12-12
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06F17/30
    • G06F17/30864
    • Relevant search results for a given query may be determined using click data for the query and the number of times the query is issued to a search engine. The number of clicks that a result receives for the given query may provide a feedback mechanism to the search engine on how relevant the result is for the given query. The frequency of a query along with the associated clicks provides the search engine with the effectiveness of the query in producing relevant results. Edges in a graph of queries versus results may be weighted in accordance with the click data and the efficiency to rank the search results provided to a user.
    • 给定查询的相关搜索结果可以使用查询的点击数据和查询发布到搜索引擎的次数来确定。 结果为给定查询获得的点击次数可以向搜索引擎提供关于给定查询的结果的相关性的反馈机制。 查询的频率以及相关的点击次数为搜索引擎提供了生成相关结果时查询的有效性。 可以根据点击数据和提供给用户的搜索结果的效率来加权查询与结果图表中的边。
    • 2. 发明申请
    • SEMI-SUPERVISED PART-OF-SPEECH TAGGING
    • 半监督的部分话题标签
    • US20090157643A1
    • 2009-06-18
    • US11954216
    • 2007-12-12
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06F17/30
    • G06F17/30864
    • Relevant search results for a given query may be determined using click data for the query and the number of times the query is issued to a search engine. The number of clicks that a result receives for the given query may provide a feedback mechanism to the search engine on how relevant the result is for the given query. The frequency of a query along with the associated clicks provides the search engine with the effectiveness of the query in producing relevant results. Edges in a graph of queries versus results may be weighted in accordance with the click data and the efficiency to rank the search results provided to a user.
    • 给定查询的相关搜索结果可以使用查询的点击数据和查询发布到搜索引擎的次数来确定。 结果为给定查询获得的点击次数可以向搜索引擎提供关于给定查询的结果的相关性的反馈机制。 查询的频率以及相关的点击次数为搜索引擎提供了生成相关结果时查询的有效性。 可以根据点击数据和提供给用户的搜索结果的效率来加权查询与结果图表中的边。
    • 3. 发明申请
    • EFFECTIVE AD PLACEMENT
    • 有效的放置
    • US20110258033A1
    • 2011-10-20
    • US12760572
    • 2010-04-15
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06Q30/00G06F17/30
    • G06Q30/0244G06F16/972G06Q30/02G06Q30/0243
    • Search results and ads that satisfy a query may be formatted into a search results page where an initial placement of ads may result in an estimated click through rate for the presented ads. An adjustment factor may be determined based on parameters associated with the search results, such as the clicks on the search results themselves. The adjustment factor may be applied to a particular ad to determine if an estimated click through rate of the particular ad will change with respect to a position when there are a first number of mainline ads and a second number of side bar ads. Mainline exclusivity may be appropriate for an ad to increase the click through rate of the ad. The increase may be determined in accordance with the adjustment factor to decide whether to present the ad with mainline exclusivity.
    • 满足查询的搜索结果和广告可能格式化为搜索结果页面,其中初始展示位置可能会导致展示广告的估算点击率。 可以基于与搜索结果相关联的参数(例如搜索结果本身的点击)来确定调整因子。 调整因子可以应用于特定广告,以确定当存在第一数量的主线广告和第二数量的边栏广告时,特定广告的估计点击率是否相对于该位置而改变。 主线排他性可能适合于增加广告点击率的广告。 该增加可以根据调整因素来确定是否呈现具有主线排他性的广告。
    • 6. 发明授权
    • Method of finding candidate sub-queries from longer queries
    • 从较长查询中查找候选子查询的方法
    • US07765204B2
    • 2010-07-27
    • US11863045
    • 2007-09-27
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06F17/30
    • G06F17/30693G06F17/30457
    • A method is disclosed for identifying queries stored in a log which are semantically related to an input query that may include a large number of terms. A set of one or more subsequences are generated for each query stored in the log, and these sets of subsequences are stored in a lookup table. A set of one or more subsequences are also generated for the input query. The subsequences in the lookup table and of the input query are generated by hashing of the respective query terms to a value between 0 and 1 using a known technique of min-hashing. The present system then constructs the subsequences of the query using the k-min hashes of the query, where k is an integer based on the number of terms in the query.
    • 公开了一种用于识别存储在日志中的查询与可能包括大量项目的输入查询语义相关的查询的方法。 为存储在日志中的每个查询生成一组或多个子序列,并将这些子序列存储在查找表中。 还为输入查询生成一组或多个子序列。 查询表和输入查询中的子序列通过使用最小哈希算法的已知技术将相应的查询项散列为0到1之间的值来生成。 本系统然后使用查询的k-min哈希构建查询的子序列,其中k是基于查询中的项数的整数。
    • 8. 发明申请
    • LINK BASED RANKING OF SEARCH RESULTS USING SUMMARIES OF RESULT NEIGHBORHOODS
    • 基于链接的搜索结果排序使用结果相邻的概要
    • US20090234829A1
    • 2009-09-17
    • US12045716
    • 2008-03-11
    • Sreenivas GollapudiMarc A. NajorkRina Panigrahy
    • Sreenivas GollapudiMarc A. NajorkRina Panigrahy
    • G06F17/30
    • G06F16/951
    • A summary of the neighborhood of a page may be determined offline and used at query time to approximate the neighborhood graph of the result set and to compute scores using the approximate neighborhood graph. The summary of the neighborhood graph may include a Bloom filter containing a limited size subset of ancestors or descendants of the page. A web page identifier may also be included in the summary. Consistent sampling is used, where a consistent unbiased sample of a number of elements from the set is determined. At query time, given a result set, the summaries for all the results may be used to create a cover set. An approximate neighborhood graph consisting of the vertices in the cover set is created. Ranking technique scores may be determined based on the approximate neighborhood graph.
    • 可以离线确定页面邻域的摘要,并在查询时使用,以近似结果集的邻域图,并使用近似邻域图计算得分。 邻域图的摘要可以包括包含页面的祖先或后代的有限大小子集的布隆过滤器。 摘要中也可以包括网页标识符。 使用一致的采样,其中确定来自集合的多个元素的一致的无偏样本。 在查询时,给定结果集,可以使用所有结果的摘要来创建一个封面。 创建由封面集合中的顶点组成的近似邻域图。 排名技术得分可以基于近似邻域图来确定。
    • 9. 发明申请
    • METHOD OF FINDING CANDIDATE SUB-QUERIES FROM LONGER QUERIES
    • 从长期查询中查找候选子问题的方法
    • US20090089266A1
    • 2009-04-02
    • US11863045
    • 2007-09-27
    • Sreenivas GollapudiRina Panigrahy
    • Sreenivas GollapudiRina Panigrahy
    • G06F17/30
    • G06F17/30693G06F17/30457
    • A method is disclosed for identifying queries stored in a log which are semantically related to an input query that may include a large number of terms. A set of one or more subsequences are generated for each query stored in the log, and these sets of subsequences are stored in a lookup table. A set of one or more subsequences are also generated for the input query. The subsequences in the lookup table and of the input query are generated by hashing of the respective query terms to a value between 0 and 1 using a known technique of min-hashing. The present system then constructs the subsequences of the query using the k-min hashes of the query, where k is an integer based on the number of terms in the query.
    • 公开了一种用于识别存储在日志中的查询与可能包括大量项目的输入查询语义相关的查询的方法。 为存储在日志中的每个查询生成一组或多个子序列,并将这些子序列存储在查找表中。 还为输入查询生成一组或多个子序列。 查询表和输入查询中的子序列通过使用最小哈希算法的已知技术将相应的查询项散列为0到1之间的值来生成。 本系统然后使用查询的k-min哈希构建查询的子序列,其中k是基于查询中的项数的整数。