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1. 发明公开

EP1596327A3 Mining service requests for product support 审中-公开
标题翻译：产品支持服务请求的测定
公开(公告)号：EP1596327A3
公开(公告)日：2008-01-16
申请号：EP05102957.7
申请日：2005-04-14
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Hirschler, Gabor R. , Li, Hang , Zeng, Hua-Jun , Wen, Ji-Rong , Samuelson, Kurt A. , Ma, Wei-Ying , Chen, Zheng
IPC分类号： G06N5/00 , G06F17/30
CPC分类号： G06N5/00 , G06N5/02
摘要： Systems and methods for mining service requests for product support are described. In one aspect, unstructured service requests are converted to one or more structured answer objects. Each structured answer object includes hierarchically structured historic problem diagnosis data. In view of a product problem description, a set of the one or more structured answer data objects is identified. Each structured solution data object in the set includes term(s) and/or phrase(s) related to the product problem description. Historic and hierarchically structured problem diagnosis data from the set is provided to an end-user for product problem diagnosis.

2. 发明公开

EP1626356A3 Method and system for summarizing a document 审中-公开
标题翻译：装置和方法为一个文件的摘要
公开(公告)号：EP1626356A3
公开(公告)日：2006-08-23
申请号：EP05107352.6
申请日：2005-08-10
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Shen, Dou , Zeng, Hua-Jun , Ma, Wei-Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30705 , G06F17/30719
摘要： A method and system for calculating the significance of a sentence within a document is provided. The summarization system calculates the significance of the sentences of a document and selects the most significant sentences as the summary of the document. The summarization system calculates the significance of a sentence based on the "important" words of the document that are contained within the sentence. The summarization system calculates the importance of words of the document using various scoring techniques and then combines the scores to classify a word as important or not important. The summarization system can then be used to identify significant sentences of the document based on the important words that a sentence contains and select significant sentences as a summary of the document.

3. 发明公开

EP1653380A1 Web page ranking with hierarchical considerations 审中-公开
标题翻译：网站 - Rangliste nach hierarchyischen Aspekten
公开(公告)号：EP1653380A1
公开(公告)日：2006-05-03
申请号：EP05109532.1
申请日：2005-10-13
申请人： Microsoft Corporation
发明人： Zhang, Benyu , Xue, Gui-Rong , Zeng, Hua-Jun , Ma, Wei-Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： The described systems, methods and data structures are directed to ranking Web pages with hierarchical considerations. The hierarchical structures and the linking relationships of the World Wide Web are used to provide a page importance ranking for Web searches. The linking relationships are aggregated to a high level node at each of the hierarchical structures. A link graph analysis is performed on the aggregated linking relationships to determine the importance of each node. The importance of each node may be propagated to pages associated with that node. For each page, the importance of that page and the importance of the node associated with the page are used to calculate the page importance ranking.
摘要翻译：所描述的系统，方法和数据结构针对具有分级考虑的网页排序。万维网的层次结构和链接关系用于为网页搜索提供页面重要性排名。链接关系在每个分层结构中聚合到高级节点。对聚合的链接关系执行链接图分析，以确定每个节点的重要性。每个节点的重要性可以被传播到与该节点相关联的页面。对于每个页面，使用该页面的重要性和与页面相关联的节点的重要性来计算页面重要性排名。

4. 发明公开

EP1596315A1 Method and system for ranking objects based on intra-type and inter-type relationships 审中-公开
标题翻译：的方法和装置基于帧内对象和对象间关系的排列对象
公开(公告)号：EP1596315A1
公开(公告)日：2005-11-16
申请号：EP05104033.5
申请日：2005-05-13
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Zeng, Hua-Jun , Ma, Wei-Ying , Xi, Wensi , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30882 , Y10S707/954 , Y10S707/955 , Y10S707/962 , Y10S707/99942 , Y10S707/99943
摘要： A method and system for ranking objects based on relationships with objects of a different object type is provided. The ranking system defines an equation for each attribute of each type of object. The equations define the attribute values and are based on relationships between the attribute and the attributes associated with the same type of object and different types of objects. The ranking system iteratively calculates the attribute values for the objects using the equations until the attribute values converge on a solution. The ranking system then ranks objects based on attribute values.
摘要翻译：提供了一种用于基于与不同的对象类型的对象的关系的对象的方法和系统。所述排序系统来定义每种类型的对象的每个属性方程。方程定义的属性值，并且基于所述属性，并与同一类型的对象和不同类型的对象的相关联的属性之间的关系。直到属性值收敛于一解排序系统迭代地计算为使用等式对象的属性值。该排名系统则排名基于属性值的对象。

5. 发明公开

EP1591924A1 Method and system for classifying display pages using summaries 有权
标题翻译：用于通过摘要的手段图像侧分类的方法和装置
公开(公告)号：EP1591924A1
公开(公告)日：2005-11-02
申请号：EP05103580.6
申请日：2005-04-29
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Shen, Dou , Zeng, Hua-Jun , Ma, Wei-Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30719 , G06F17/30864
摘要： A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.

6. 发明公开

EP1587011A1 Related term suggestion for multi-sense queries 审中-公开
标题翻译： Vorschlagen verwandter TermefürAbfragen mit unterschiedlicher Bedeutung
公开(公告)号：EP1587011A1
公开(公告)日：2005-10-19
申请号：EP05102959.3
申请日：2005-04-14
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Zeng, Hua-Jun , Li, Li , Najm, Tarek , Ma, Wei-Ying , Li, Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/3064 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99937
摘要： Systems and methods for related term suggestion are described. In one aspect, term clusters are generated as a function of calculated similarity of term vectors. Each term vector having been generated from search results associated with a set of high frequency of occurrence (FOO) historical queries previously submitted to a search engine. Responsive to receiving a term/phrase from an entity, the term/phrase is evaluated in view of terms/phrases in the term clusters to identify one or more related term suggestions.
摘要翻译：描述相关术语建议的系统和方法。在一个方面，产生术语簇作为计算的项向量相似度的函数。已经从先前提交给搜索引擎的一组高频发生（FOO）历史查询相关联的搜索结果产生了每个词向量。响应于从实体接收术语/短语，根据术语集合中的术语/短语来评估术语/短语以识别一个或多个相关术语建议。

7. 发明授权

EP1596314B1 Method and system for determining similarity between queries and between web pages based on their relationships 有权
标题翻译：为确定搜索查询之间，并根据它们之间的关系网站之间的相似性的方法和装置
公开(公告)号：EP1596314B1
公开(公告)日：2013-07-17
申请号：EP05104021.0
申请日：2005-05-13
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Xue, Gui-Rong , Zeng, Hua-Jun , Ma, Wei-Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30882 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933

8. 发明公开

EP1587009A3 Content propagation for enhanced document retrieval 审中-公开
标题翻译：传播内容改进的文件检索
公开(公告)号：EP1587009A3
公开(公告)日：2006-08-16
申请号：EP05102838.9
申请日：2005-04-11
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Cook, Daniel B. , Hirschler, Gabor , Hon, Hsiao-Wuen , Zeng, Hua-Jun , Fries, Karen , Samuelson, Kurt , Ma, Wei-Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30631 , G06F17/30722 , G06F17/30864 , Y10S707/99935 , Y10S707/99942
摘要： Systems and methods providing computer-implemented content propagation for enhanced document retrieval are described. In one aspect, reference information directed to one or more documents is identified. The reference information is identified from one or more sources of data that are independent of a data source that includes the one or more documents. Metadata that is proximally located to the reference information is extracted from the one or more sources of data. Relevance between respective features of the metadata to content of associated ones of the one or more documents is calculated. For each document of the one or more documents, associated portions of the metadata is indexed with the relevance of features from the respective portions into original content of the document. The indexing generates one or more enhanced documents.

9. 发明公开

EP1622328A1 Method and System for Prioritizing Communications Based on Interpersonal Relationships 审中-公开
标题翻译：系统和方法确定人际关系通信beruhender的优先级
公开(公告)号：EP1622328A1
公开(公告)日：2006-02-01
申请号：EP05106955.7
申请日：2005-07-28
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Zeng, Hua-Jun , Ma, Wei-Ying , Chen, Zheng
IPC分类号： H04L12/58 , G06Q10/00
CPC分类号： G06Q10/107
摘要： A method and system for calculating the importance of persons based on interpersonal relationships and prioritizing communications based on importance of participants in the communications is provided. A prioritization system identifies relationships between persons and identifies the importance of a person to other persons based on these relationships. After the prioritization system identifies the importance of persons, the prioritization system can prioritize communications based on the importance of the senders or recipients.
摘要翻译：提供了一种用于计算基于人际关系的人的重要性，并优先考虑基于参与者通信的重要性，通信方法和系统。优先排序系统识别的人之间的关系，并确定一个人基于合成关系的其他人的重要性。优先系统识别人的重要性后，优先系统可以优先基础上的发件人或收件人的重要性通信。

10. 发明公开

EP1587012A3 Reinforced clustering of multi-type data objects for search term suggestion 审中-公开
标题翻译：不同类型的搜索条件的对象机群的提议
公开(公告)号：EP1587012A3
公开(公告)日：2005-12-14
申请号：EP05102987.4
申请日：2005-04-15
申请人： MICROSOFT CORPORATION
发明人： Zhang, Benyu , Zeng, Hua-Jun , Li, Li , Najm, Tarek , Ma, Wei-Ying , Li, Ying , Chen, Zheng
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99945
摘要： Systems and methods for related term suggestion are described. In one aspect, relationships among respective ones of two or more multi-type data objects are identified. The respective ones of the multi-type data objects include at least one object of a first type and at least one object of a second type that is different from the first type. The multi-type data objects are iteratively clustered in view of respective ones of the relationships to generate reinforced clusters.

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