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    • 7. 发明申请
    • RANKING DATA UTILIZING ATTRIBUTES ASSOCIATED WITH SEMANTIC SUB-KEYS
    • 使用与子语言相关的属性排列数据
    • US20120323905A1
    • 2012-12-20
    • US13595290
    • 2012-08-27
    • Hong Liang Qiao
    • Hong Liang Qiao
    • G06F17/30
    • G06F16/9535G06F16/3338G06F16/36G06F16/951
    • A method, computer-readable medium, and system for ranking data are disclosed. Where a semantic key is associated with a search query, a plurality of semantic sub-keys associated with the semantic key may be determined. Each semantic sub-key of the plurality of semantic sub-keys may be associated with at least one respective attribute. At least one semantic sub-key of the plurality of semantic sub-keys may be determined, where the at least one semantic sub-key is associated with an attribute matching a portion of the search query. At least one document associated with the at least one semantic sub-key may be ranked above at least one other document associated with at least one other semantic sub-key of the plurality of semantic sub-keys. As such, ranking of documents associated with search results may be improved by utilizing attributes of semantic sub-keys.
    • 公开了一种用于对数据进行排序的方法,计算机可读介质和系统。 在语义密钥与搜索查询相关联的情况下,可以确定与语义密钥相关联的多个语义子密钥。 多个语义子密钥的每个语义子密钥可以与至少一个相应的属性相关联。 可以确定多个语义子密钥中的至少一个语义子密钥,其中至少一个语义子密钥与匹配搜索查询的一部分的属性相关联。 与至少一个语义子密钥相关联的至少一个文档可以被排在与多个语义子密钥中的至少一个其他语义子密钥相关联的至少一个其他文档之上。 因此,可以通过利用语义子密钥的属性来改善与搜索结果相关联的文档的排名。
    • 8. 发明申请
    • AUTOMATIC GENERATION OF A SEARCH QUERY
    • 搜索查询的自动生成
    • US20120323904A1
    • 2012-12-20
    • US13595168
    • 2012-08-27
    • Hong Liang Qiao
    • Hong Liang Qiao
    • G06F17/30
    • G06F17/30672G06F17/30731G06F17/30864G06F17/30867
    • A method, computer-readable medium, and system for automatic generation of a search query are disclosed. A semantic key may be automatically recognized in a first search query, thereby allowing a second search query to be automatically generated based on the first search query. A first search may be performed using the second search query. Search results generated responsive to the first search may include one or more instances of at least one semantic sub-key associated with the semantic key. In this manner, more relevant search results may be returned while relieving the user of manually entering the semantic key separately from the search query keywords and/or demarcating the semantic key and the search query keywords.
    • 公开了一种用于自动生成搜索查询的方法,计算机可读介质和系统。 可以在第一搜索查询中自动识别语义密钥,从而允许基于第一搜索查询自动生成第二搜索查询。 可以使用第二搜索查询来执行第一搜索。 响应于第一次搜索生成的搜索结果可以包括与语义密钥相关联的至少一个语义子密钥的一个或多个实例。 以这种方式,可以在减轻用户与搜索查询关键字分开手动输入语义密钥和/或划分语义密钥和搜索查询关键字的同时,返回更相关的搜索结果。
    • 9. 发明申请
    • SCROLL COMPRESSOR
    • 滚动压缩机
    • US20110081269A1
    • 2011-04-07
    • US12773436
    • 2010-05-04
    • Tse Liang HsiaoPei Yu YuLiang Qiao Huang
    • Tse Liang HsiaoPei Yu YuLiang Qiao Huang
    • F01C1/063
    • F04C18/0215F04C23/008F04C27/005
    • A scroll compressor includes an orbiting scroll member, a non-orbiting scroll member, a spacing block, and an annular pressure piece. The non-orbiting scroll member is disposed on the orbiting scroll member. The spacing block has a first annular recess and at least one first through hole. The spacing block is disposed on the non-orbiting scroll member. The first through hole is located within the first annular recess and penetrates the spacing block. The annular pressure piece has a second annular recess and at least one second through hole. The second through hole is located within the second annular recess and penetrates the annular pressure piece. The annular pressure piece is accommodated within the first annular recess. One side disposed with the second annular recess of the annular pressure piece faces the spacing block. The annular pressure piece is located between the spacing block and the non-orbiting scroll member.
    • 涡旋压缩机包括绕动涡旋件,非绕动涡旋件,间隔块和环形压力件。 非绕动涡旋构件设置在绕动涡旋构件上。 间隔块具有第一环形凹部和至少一个第一通孔。 间隔块设置在非绕动涡旋构件上。 第一通孔位于第一环形凹部内并穿过间隔块。 环形压力件具有第二环形凹部和至少一个第二通孔。 第二通孔位于第二环形凹部内并穿过环形压力片。 环形压片被容纳在第一环形凹部内。 与环形压力片的第二环形凹部配置的一侧面向间隔块。 环形压力件位于间隔块和非绕动涡旋件之间。
    • 10. 发明申请
    • METHOD AND SYSTEM FOR SCORING TEXTS
    • 评分文本的方法和系统
    • US20110072011A1
    • 2011-03-24
    • US12884395
    • 2010-09-17
    • Hong Liang Qiao
    • Hong Liang Qiao
    • G06F17/30
    • G06F17/3053G06F17/30345G06F17/30687G06F17/30867
    • A computer-implemented method, computer-readable medium and system for scoring a text are disclosed. Themes within one or more texts may be determined and used to score each text, where an overall score for each text may indicate a respective importance and/or value of each text. The score for each text may be determined based upon a number of themes, type of themes, frequency of theme elements associated with the themes, distribution of theme elements associated with the themes, location of themes in the text, some combination thereof, etc. In this manner, the importance or value of one or more texts may be determined more accurately using information within each text with reduced reliance upon external information. Additionally, more relevant search results can be returned to a user by using internal information to perform ranking operations and/or filtering operations associated with a search.
    • 公开了一种用于评分文本的计算机实现的方法,计算机可读介质和系统。 可以确定一个或多个文本内的主题并用于对每个文本进行评分,其中每个文本的总分可以指示每个文本的相应重要性和/或值。 每个文本的分数可以基于主题数量,主题类型,与主题相关联的主题元素的频率,与主题相关联的主题元素的分布,文本中的主题的位置,其某种组合等来确定。 以这种方式,可以使用每个文本内的信息更准确地确定一个或多个文本的重要性或价值,同时减少对外部信息的依赖。 此外,通过使用内部信息来执行与搜索相关联的排序操作和/或过滤操作,可以向用户返回更相关的搜索结果。