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    • 31. 发明申请
    • METHOD AND AN APPARATUS FOR PROCESSING PACKETS
    • 用于处理分组的方法和装置
    • US20100322239A1
    • 2010-12-23
    • US12808426
    • 2008-06-12
    • Xiao LiXiangqing ChangXudong Zou
    • Xiao LiXiangqing ChangXudong Zou
    • H04L12/56
    • H04L63/02H04L12/413H04L63/0209
    • The present invention discloses a packet processing method, which applies to a high-performance and scalable flow processing system architecture. The service board performs security processing for packets received from external devices by using the firewall function before sending them to the main CPU; similarly, the service board also performs security processing for packets sent from the main CPU by using the firewall function before the main CPU sends them to external devices. The methods of the present invention utilize high performance and good scalability of the new architecture. In a network with heavy and high-speed traffic, the service board performs security processing for packets by using the firewall function and then transmits the valid packets to the main CPU. Thus, the main CPU is protected by the firewall function against attack packets.
    • 本发明公开了一种适用于高性能,可扩展的流处理系统架构的分组处理方法。 业务板在发送给主CPU之前,先通过防火墙功能对外部设备收到的报文进行安全处理; 类似地,在主CPU将它们发送到外部设备之前,服务板还通过使用防火墙功能对从主CPU发送的数据包进行安全处理。 本发明的方法利用新架构的高性能和良好的可扩展性。 在高速流量网络中,业务板通过防火墙功能对报文进行安全处理,然后将有效报文发送给主CPU。 因此,主CPU受到防火墙功能的攻击攻击。
    • 32. 发明申请
    • SMOOTHING CLICKTHROUGH DATA FOR WEB SEARCH RANKING
    • 用于网络搜索排名的平滑点击数据
    • US20100318531A1
    • 2010-12-16
    • US12481593
    • 2009-06-10
    • Jianfeng GaoXiao LiKefeng DengWei YuanJian-Yun Nie
    • Jianfeng GaoXiao LiKefeng DengWei YuanJian-Yun Nie
    • G06F17/30G06F15/18
    • G06F16/337G06F16/335G06F16/355
    • Described is a technology for using clickthrough data (e.g., based on data of a query log) in learning a ranking model that may be used in online ranking of search results. Clickthrough data, which is typically sparse (because many documents are often not clicked or rarely clicked), is processed/smoothed into smoothed clickthrough streams. The processing includes determining similar queries for a document with incomplete (insufficient) clickthrough data to provide expanded clickthrough data for that document, and/or by estimating at least one clickthrough feature for a document when that document has missing (e.g., no) clickthrough data. Similar queries may be determined by random walk clustering and/or session-based query analysis. Features extracted from the clickthrough streams may be used to provide a ranking model which may then be used in online ranking of documents that are located with respect to a query.
    • 描述了一种用于在学习可用于搜索结果的在线排名中的排名模型的点击数据(例如,基于查询日志的数据)的技术。 点击数据通常是稀疏的(因为许多文档经常没有点击或很少点击)被处理/平滑到平滑的点击流中。 该处理包括确定具有不完整(不足够的)点击数据的文档的类似查询,以便为该文档提供扩展的点击数据,和/或通过在该文档缺少(例如,否))点击数据时估计文档的至少一个点击特征 。 可以通过随机游走聚类和/或基于会话的查询分析来确定类似的查询。 从点击流中提取的特征可以用于提供排序模型,然后可以在相对于查询定位的文档的在线排名中使用排名模型。
    • 33. 发明申请
    • PRESENTING SEARCH RESULTS ACCORDING TO QUERY DOMAINS
    • 根据查询域提供搜索结果
    • US20100312782A1
    • 2010-12-09
    • US12479371
    • 2009-06-05
    • Xiao LiPatrick NguyenGeoffrey ZweigAlejandro Acero
    • Xiao LiPatrick NguyenGeoffrey ZweigAlejandro Acero
    • G06F17/30G10L15/26
    • G06F17/30991G06N99/005G10L15/26G10L2015/025
    • A query may be applied against search engines that respectively return a set of search results relating to various items discovered in the searched data sets. However, presenting numerous and varied search results may be difficult on mobile devices with small displays and limited computational resources. Instead, search results may be associated with search domains representing various information types (e.g., contacts, public figures, places, projects, movies, music, and books) and presented by grouping search results with associated query domains, e.g., in a tabbed user interface. The query may be received through an input device associated with a particular input domain, and may be transitioned to the query domain of a particular search engine (e.g., by recognizing phonemes of a voice query using an acoustic model; matching phonemes with query terms according to a pronunciation model; and generating a recognition result according to a vocabulary of an n-gram language model.)
    • 可以针对分别返回与搜索到的数据集中发现的各种项目相关的一组搜索结果的搜索引擎应用查询。 然而,在具有小显示器和有限的计算资源的移动设备上呈现多种多样的搜索结果可能是困难的。 相反,搜索结果可以与表示各种信息类型(例如,联系人,公众人物,地点,项目,电影,音乐和书籍)的搜索域相关联,并且通过将搜索结果与相关联的查询域分组,例如在标签用户 接口。 可以通过与特定输入域相关联的输入设备来接收查询,并且可以将其转换到特定搜索引擎的查询域(例如,通过使用声学模型识别语音查询的音素;使用查询词语匹配音素 发音模型;以及根据n-gram语言模型的词汇生成识别结果。)
    • 34. 发明申请
    • INTRA-LANGUAGE STATISTICAL MACHINE TRANSLATION
    • 语言统计机翻译
    • US20090248422A1
    • 2009-10-01
    • US12058328
    • 2008-03-28
    • Xiao LiYun-Cheng JuGeoffrey ZweigAlex Acero
    • Xiao LiYun-Cheng JuGeoffrey ZweigAlex Acero
    • G10L11/00G06F17/28
    • G06F17/2818G06F17/2827
    • Training data may be provided, the training data including pairs of source phrases and target phrases. The pairs may be used to train an intra-language statistical machine translation model, where the intra-language statistical machine translation model, when given an input phrase of text in the human language, can compute probabilities of semantic equivalence of the input phrase to possible translations of the input phrase in the human language. The statistical machine translation model may be used to translate between queries and listings. The queries may be text strings in the human language submitted to a search engine. The listing strings may be text strings of formal names of real world entities that are to be searched by the search engine to find matches for the query strings.
    • 可以提供训练数据,训练数据包括源短语和目标短语对。 这些对可以用于训练语言间统计机器翻译模型,其中语言内统计机器翻译模型在给予人类语言的文本的输入短语时可以计算输入短语的语义等同性的可能性 输入短语在人类语言中的翻译。 统计机器翻译模型可用于在查询和列表之间进行翻译。 查询可以是提交给搜索引擎的人类语言中的文本字符串。 列表字符串可以是要由搜索引擎搜索以查找查询字符串的匹配的真实世界实体的正式名称的文本串。