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1. 发明申请

US20090055380A1 Predictive Stemming for Web Search with Statistical Machine Translation Models 有权
标题翻译：用统计机器翻译模型进行网页搜索的预测干预
公开(公告)号：US20090055380A1
公开(公告)日：2009-02-26
申请号：US11843560
申请日：2007-08-22
申请人： Fuchun PENG , Nawaaz Ahmed , Yumao Lu , Marco J. Zagha
发明人： Fuchun PENG , Nawaaz Ahmed , Yumao Lu , Marco J. Zagha
IPC分类号： G06F17/30
CPC分类号： G06F17/30672 , G06F17/30646 , G06F17/30737
摘要： Techniques for determining when and how to transform words in a query to return the most relevant search results while minimizing computational overhead are provided. A dictionary is generated based upon words used in a specified number of previous most frequent search queries and comprises lists of transformations that may include variants based upon the stems of words, synonyms, and abbreviation expansions. When a query is received from a user, candidate queries are generated based upon replacing particular words in the query with a transformation of the particular words. Candidate queries are selected that have a high probability of returning relevant results by computing values of the query using language model scoring and translation scoring. The selected candidate queries and the original query are executed to return search results. The search results are displayed to the user with the words in the original query and the transformed words in bold.
摘要翻译：提供了用于确定何时以及如何在查询中转换词以返回最相关的搜索结果同时最小化计算开销的技术。基于在指定数量的先前最频繁的搜索查询中使用的词来生成字典，并且包括可以包括基于词的词干，同义词和缩写扩展的变体的变换列表。当从用户接收到查询时，基于用特定单词的变换替换查询中的特定单词来生成候选查询。选择候选查询，通过使用语言模型评分和翻译评分计算查询的值，具有很高的返回相关结果的概率。执行所选择的候选查询和原始查询以返回搜索结果。搜索结果以原始查询中的单词显示给用户，而转换后的单词以粗体显示。

2. 发明申请

US20100312778A1 PREDICTIVE PERSON NAME VARIANTS FOR WEB SEARCH 审中-公开
标题翻译：用于网络搜索的预测人员变量
公开(公告)号：US20100312778A1
公开(公告)日：2010-12-09
申请号：US12480628
申请日：2009-06-08
申请人： Yumao LU , Fuchun PENG , Benoit DUMOULIN
发明人： Yumao LU , Fuchun PENG , Benoit DUMOULIN
IPC分类号： G06F17/30
CPC分类号： G06F16/3322
摘要： Techniques for determining when and which name variant candidates to use to re-write a search query that includes a person's name in order to provide the most relevant search results are provided. A determination is made whether a person name is present in a search query request entered by a user. Name variant candidates are generated for each person name. Then, the name variant candidates are ranked for each person name based upon one or more models that calculate a probability value for each name variant candidate. Based upon these rankings, the query may be re-written to include the original person name and a specified number of top ranked name variant candidates to present the user with the most relevant search results.
摘要翻译：提供了用于确定什么时候和哪个名称变体候选人用于重写包括人的名称以便提供最相关的搜索结果的搜索查询的技术。确定用户输入的搜索查询请求中是否存在人名。为每个人的姓名生成姓名变体候选人。然后，基于计算每个名称变体候选者的概率值的一个或多个模型，为每个人名称对名称变体候选者进行排名。基于这些排名，可以重写该查询以包括原始人姓名和指定数量的排名最高的名称变体候选人，以向用户呈现最相关的搜索结果。

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