公开(公告)号：US20120323905A1

公开(公告)日：2012-12-20

申请号：US13595290

申请日：2012-08-27

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06F16/9535 ,  G06F16/3338 ,  G06F16/36 ,  G06F16/951

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20120323904A1

公开(公告)日：2012-12-20

申请号：US13595168

申请日：2012-08-27

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06F17/30672 ,  G06F17/30731 ,  G06F17/30864 ,  G06F17/30867

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20110081269A1

公开(公告)日：2011-04-07

申请号：US12773436

申请日：2010-05-04

申请人： Tse Liang Hsiao ,  Pei Yu Yu ,  Liang Qiao Huang

发明人： Tse Liang Hsiao ,  Pei Yu Yu ,  Liang Qiao Huang

IPC分类号： F01C1/063

CPC分类号： F04C18/0215 ,  F04C23/008 ,  F04C27/005

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20110072011A1

公开(公告)日：2011-03-24

申请号：US12884395

申请日：2010-09-17

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06F17/3053 ,  G06F17/30345 ,  G06F17/30687 ,  G06F17/30867

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20100146137A1

公开(公告)日：2010-06-10

申请号：US12331162

申请日：2008-12-09

申请人： Kang Heng Wu ,  Chun Yin Ng ,  Liang Qiao Chen ,  Tak Wing Lam

发明人： Kang Heng Wu ,  Chun Yin Ng ,  Liang Qiao Chen ,  Tak Wing Lam

IPC分类号： G06F13/00 ,  H04L12/28

CPC分类号： H04L67/104 ,  H04L67/1046 ,  H04L67/1078

摘要： A method performed by a new joining peer device in a peer-to-peer (P2P) network comprises receiving a plurality of buffer maps, each of the received buffer maps associated with a respective other peer device in the P2P network. The method also includes discerning playback positions associated with the received buffer maps, generating a starting offset for the new joining peer using one or more of the discerned playback positions. Requests for portions of a media stream are scheduled in accordance with the starting offset, and the scheduler will build a buffer map from this offset and begin to request the media buffer.

摘要翻译： 由点对点（P2P）网络中的新加入对等设备执行的方法包括接收多个缓冲器映射，每个所接收的缓冲器映射与P2P网络中的相应的其他对等设备相关联。 该方法还包括与接收到的缓冲器映射相关联的识别回放位置，使用一个或多个识别回放位置来生成新加入对等体的起始偏移量。 根据起始偏移量调度对媒体流的部分的请求，并且调度器将从该偏移量建立缓冲器映射并开始请求媒体缓冲器。

公开(公告)号：US10311113B2

公开(公告)日：2019-06-04

申请号：US13452713

申请日：2012-04-20

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F16/951

摘要： A method, computer-readable medium, and a computer system for processing data are disclosed. First data associated with a search may be accessed. Second data may be accessed from a database using the first data, where the second data may be associated with at least one sentiment of the first data. The second data may include at least one score, at least one classification, and at least one degree, some combination thereof, etc. Third data may be generated, based on the second data, for performing at least one operation associated with the search results. The at least one operation may include filtering the search results, ranking the search results, displaying an image associated with the at least one sentiment, some combination thereof, etc.

公开(公告)号：US09396262B2

公开(公告)日：2016-07-19

申请号：US12112774

申请日：2008-04-30

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： A method, computer-usable medium, and a computer system for searching for webpages are disclosed. Embodiments of the present invention provide a convenient and efficient mechanism for filtering results from a keyword search using semantic keys and semantic sub-keys, thereby enabling an increased number of irrelevant results to be filtered from a keyword search. The search query may be parsed to determine the focus of the query, where the focus may be used determine at least one semantic key for the search query. Each semantic key may be associated with at least one semantic sub-key, where the semantic keys and/or the semantic sub-keys may be used to filter the results of the keyword search. As such, broader keyword searches may be performed to include a larger number of relevant results, where the filtering mechanisms of the present invention may then filter an increased number of irrelevant results.

摘要翻译： 公开了一种用于搜索网页的方法，计算机可用介质和计算机系统。 本发明的实施例提供了一种用于使用语义密钥和语义子密钥过滤关键字搜索的结果的便利和有效的机制，从而使得能够从关键字搜索中过滤不必要的结果的数量增加。 可以解析搜索查询以确定查询的焦点，其中可以使用焦点来确定用于搜索查询的至少一个语义密钥。 每个语义密钥可以与至少一个语义子密钥相关联，其中语义密钥和/或语义子密钥可以用于过滤关键字搜索的结果。 因此，可以执行更广泛的关键字搜索以包括更多数量的相关结果，其中本发明的过滤机制可以过滤不必要的结果的增加数量。

公开(公告)号：US08924396B2

公开(公告)日：2014-12-30

申请号：US12884395

申请日：2010-09-17

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06F17/3053 ,  G06F17/30345 ,  G06F17/30687 ,  G06F17/30867

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20130018894A1

公开(公告)日：2013-01-17

申请号：US13452718

申请日：2012-04-20

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06F17/30719 ,  G06F17/2229 ,  G06F17/271 ,  G06F17/2785 ,  G06F17/3061 ,  G06F17/30637 ,  G06F17/30654 ,  G06F17/30663 ,  G06F17/30684 ,  G06F17/30705 ,  G06F17/30864

摘要： A method, computer-readable medium, and a computer system for automatically generating sentiment data are disclosed. One or more portions of at least one document may be determined to be associated with at least one sentiment of one or more other portions of the at least one document. One or more scores associated with the at least one sentiment may be automatically determined based on at least one respective attribute of the one or more portions. The at least one respective attribute may include a positive category, a negative category, a neutral category, a degree associated with a positive sentiment, a degree associated with a negative sentiment, some combination thereof, etc. In this manner, data associated with sentiment of one or more portions of at least one document may be generated.

摘要翻译： 公开了一种用于自动生成情感数据的方法，计算机可读介质和计算机系统。 可以将至少一个文档的一个或多个部分确定为与至少一个文档的一个或多个其他部分的至少一个情绪相关联。 可以基于一个或多个部分的至少一个相应属性来自动确定与至少一个情绪相关联的一个或多个分数。 至少一个相应的属性可以包括正类别，负类别，中性类别，与正面情绪相关联的程度，与否定情绪相关联的程度，其某种组合等。以这种方式，与情绪相关联的数据 可以生成至少一个文档的一个或多个部分。

公开(公告)号：US20120317103A1

公开(公告)日：2012-12-13

申请号：US13595230

申请日：2012-08-27

申请人： Hong Liang Qiao

发明人： Hong Liang Qiao

IPC分类号： G06F17/30

CPC分类号： G06Q30/0256 ,  G06F16/313 ,  G06F16/36 ,  G06F16/9535 ,  G06Q30/0241

摘要： A method, computer-readable medium, and system for ranking data are disclosed. It may be automatically determined that a search query includes multiple semantic keys. Respective sets of semantic sub-keys may be determined for each of the multiple semantic keys. Documents including at least one instance of a semantic sub-key associated with the multiple semantic keys may be ranked above documents which do not include at least one instance of a semantic sub-key associated with the multiple semantic keys. In this manner, ranking of documents associated with search results may be improved by utilizing semantic sub-keys associated with multiple semantic keys included in the search query.

摘要翻译： 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。 可以自动确定搜索查询包括多个语义密钥。 可以为多个语义密钥中的每一个确定各组语义子密钥。 包括与多个语义密钥相关联的语义子密钥的至少一个实例的文档可以被排在不包括与多个语义密钥相关联的语义子密钥的至少一个实例的文档之上。 以这种方式，可以通过利用与包括在搜索查询中的多个语义密钥相关联的语义子密钥来提高与搜索结果相关联的文档的排名。