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    • 4. 发明授权
    • Smart user-centric information aggregation
    • 智能用户为中心的信息聚合
    • US08868598B2
    • 2014-10-21
    • US13586711
    • 2012-08-15
    • Jianwen ZhangZhimin ZhangJian-Tao SunJun YanNing LiuLei JiWeizhu ChenZheng Chen
    • Jianwen ZhangZhimin ZhangJian-Tao SunJun YanNing LiuLei JiWeizhu ChenZheng Chen
    • G06F7/00G06F17/30
    • G06F17/30032G06F17/30905
    • A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.
    • 以智能用户为中心的信息聚合系统允许用户定义显示在设备显示器中的内容区域,并代表用户执行信息聚合。 智能用户为中心的信息聚合系统在用户可以继续执行他/她的原始行为过程而不间断地搜索,聚合和分组与用户内容区域中包含的内容相关的信息。 在找到与期望内容相关的信息之后,智能用户为中心的信息聚合系统可以在接收到来自用户的确认时通知用户并向用户呈现找到的信息。 以智能用户为中心的信息聚合系统可以继续寻找新的相关信息,并且在某些情况下,不需要用户干预或输入,定期更新新发现的信息。
    • 5. 发明申请
    • Web Knowledge Extraction for Search Task Simplification
    • Web知识提取搜索任务简化
    • US20130138655A1
    • 2013-05-30
    • US13307836
    • 2011-11-30
    • Jun YanLei JiNing LiuZheng Chen
    • Jun YanLei JiNing LiuZheng Chen
    • G06F17/30
    • G06F17/30702G06F17/30867
    • Techniques are described for generating structured information from semi-structured web pages, and retrieving the structured knowledge in response to a user query that indicates a query intent. The structured information is automatically extracted offline from semi-structured web pages, through the use of an auto wrapper solution that is noise tolerant, scalable, and automatic. The structured information is stored in a knowledge base, and provided in response to a user search query that indicates a query intent. Extraction of structured information may also include clustering of pages based on their measured similarities. The clusters may be determined based on similar elements in the tag path text data of the pages. A minimum size threshold may be applied to the clusters.
    • 描述了用于从半结构化网页生成结构化信息的技术,以及响应于指示查询意图的用户查询来检索结构化知识。 结构化信息通过使用具有噪声容限,可扩展和自动的自动包装解决方案,从半结构化网页离线自动提取。 结构化信息存储在知识库中,并响应于指示查询意图的用户搜索查询而提供。 结构化信息的提取还可以包括基于其测量的相似性来聚合页面。 可以基于页面的标签路径文本数据中的类似元素来确定簇。 可以将最小大小阈值应用于群集。
    • 6. 发明申请
    • COHERENT RECEIVER APPARATUS AND CHROMATIC DISPERSION COMPENSATION METHOD
    • 相关接收装置和色彩补偿补偿方法
    • US20130034352A1
    • 2013-02-07
    • US13565458
    • 2012-08-02
    • Ning Liu
    • Ning Liu
    • H04B10/18
    • H04B10/25133H04B10/6161H04B2210/252
    • The present disclosure relates to the field of communications, and in particular, to a coherent receiver apparatus and a chromatic dispersion compensation method. The apparatus includes a polarization beam splitter and a chromatic dispersion compensation module. An optical splitter is disposed in front of the polarization beam splitter, and a chromatic dispersion monitoring module is connected between the optical splitter and the chromatic dispersion compensation module. The optical splitter is configured to split a modulated optical signal received by the coherent receiver apparatus and then transmit the split modulated optical signal to the chromatic dispersion monitoring module and the polarization beam splitter. The chromatic dispersion monitoring module is configured to perform chromatic dispersion monitoring on the modulated optical signal to determine a chromatic dispersion range of the modulated optical signal, and enable the chromatic dispersion compensation module to perform chromatic dispersion compensation in the chromatic dispersion range.
    • 本公开涉及通信领域,特别涉及一种相干接收机装置和色散补偿方法。 该装置包括偏振分束器和色散补偿模块。 光分路器设置在偏振分束器的前面,并且色散监视模块连接在光分路器和色散补偿模块之间。 光分路器被配置为分离由相干接收机设备接收的调制光信号,然后将分离的调制光信号发送到色散监视模块和偏振分束器。 色散监视模块被配置为对调制的光信号进行色散监视,以确定调制的光信号的色散范围,并使色散补偿模块能够在色散范围内进行色散补偿。
    • 7. 发明授权
    • Identification of similar queries based on overall and partial similarity of time series
    • 基于时间序列的总体和部分相似性识别类似查询
    • US08290921B2
    • 2012-10-16
    • US11770505
    • 2007-06-28
    • Ning LiuJun YanBenyu ZhangZheng ChenJian Wang
    • Ning LiuJun YanBenyu ZhangZheng ChenJian Wang
    • G06F7/00G06F17/30
    • G06F17/30864G06F17/3064
    • Techniques for identifying similar queries based on their overall similarity and partial similarity of time series of frequencies of the queries are provided. To identify queries that are similar to a target query, the query analysis system generates, for each query, an overall similarity score for that query and the target query based on the time series of the query and the target query. The query analysis system also generates, for each query, partial similarity scores for the query and the target query based on various time sub-series of the overall time series of the queries. The query analysis system then identifies queries as being similar to the target query based on the overall similarity scores and the partial similarity scores of the queries.
    • 提供了基于其查询的时间序列的总体相似性和部分相似性来识别类似查询的技术。 为了识别类似于目标查询的查询,查询分析系统根据查询和目标查询的时间序列为每个查询生成该查询和目标查询的总体相似性得分。 查询分析系统还根据查询的整个时间序列的各种时间子序列,为每个查询生成查询和目标查询的部分相似度分数。 然后,查询分析系统基于查询的总体相似性得分和部分相似性得分将查询识别为与目标查询相似。
    • 8. 发明申请
    • TRANSFER OF LEARNING FOR QUERY CLASSIFICATION
    • 转学习查询分类
    • US20120259801A1
    • 2012-10-11
    • US13081391
    • 2011-04-06
    • Lei JiJun YanNing LiuZheng Chen
    • Lei JiJun YanNing LiuZheng Chen
    • G06F15/18
    • G06N99/005
    • Transfer of learning trains a new domain for the classification of search queries according to different tasks, as well as the generation of a corresponding domain-specific query classifier that may be used to classify the search queries according to the different tasks in the new domain. The transfer of learning may include preparing a new domain to receive classification knowledge from one or more source domains by populating the new domain with preliminary query patterns extracted for a search engine log. The transfer of learning may further include preparing the classification knowledge in each source domain for transfer to the new domain. The classification knowledge in each source domain may then be transferred to the new domain.
    • 学习的转移为根据不同任务对搜索查询进行分类的新领域提供了新的领域,以及生成可用于根据新域中的不同任务对搜索查询进行分类的相应的域特定查询分类器。 学习的转移可能包括准备一个新的域,以通过用搜索引擎日志提取的初步查询模式填充新域来从一个或多个源域接收分类知识。 学习的转移还可以包括准备每个源域中的分类知识以转移到新的域。 然后可以将每个源域中的分类知识转移到新域。