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1. 发明授权

US08838588B2 System and method for dynamically tracking user interests based on personal information 有权
标题翻译：基于个人信息动态跟踪用户兴趣的系统和方法
公开(公告)号：US08838588B2
公开(公告)日：2014-09-16
申请号：US11094031
申请日：2005-03-30
申请人： Joann Ruvolo , Stefan Bengt Edlund , Vikas Krishna , Justin Thomas Lessler , Carl J. Kraenzel
发明人： Joann Ruvolo , Stefan Bengt Edlund , Vikas Krishna , Justin Thomas Lessler , Carl J. Kraenzel
IPC分类号： G06F17/30
CPC分类号： G06F17/30702
摘要： Described are a dynamic interest profile (DIP) system and method for dynamically tracking interests of a user based on personal information. The DIP system obtains electronic documents of the user from a document stream and processes the documents to obtain certain information therefrom. Based on the information obtained from the documents, the DIP system identifies terms, people, documents, and collections that are of importance to the user. These items of importance become part of a dynamic interest profile of the user. The dynamic interest profiles persist in a database. The DIP system also provides an application program interface (API) for accessing DIPs in the database. Application programs can employ this API to customize program behavior to the particular interests of the user executing those programs.
摘要翻译：描述了一种基于个人信息动态跟踪用户兴趣的动态兴趣简档（DIP）系统和方法。 DIP系统从文档流中获取用户的电子文档，并处理文档以从中获取某些信息。根据从文件获得的信息，DIP系统识别对用户重要的条款，人员，文档和集合。这些重要的项目成为用户的动态兴趣情景的一部分。动态兴趣配置文件保留在数据库中。 DIP系统还提供用于访问数据库中DIP的应用程序接口（API）。应用程序可以使用该API来根据执行这些程序的用户的特定兴趣定制程序行为。

2. 发明授权

US09104689B2 Method for synchronizing documents for disconnected operation 有权
标题翻译：用于同步文档以断开连接操作的方法
公开(公告)号：US09104689B2
公开(公告)日：2015-08-11
申请号：US10802321
申请日：2004-03-17
申请人： Stefan Bengt Edlund , Joann Ruvolo , Justin Thomas Lessler , Sesha Sung Shan Baratham
发明人： Stefan Bengt Edlund , Joann Ruvolo , Justin Thomas Lessler , Sesha Sung Shan Baratham
IPC分类号： G06F17/30
CPC分类号： G06F17/30174
摘要： Described is a method for synchronizing a client with a server. A document score is calculated for each document in a server database. The document score indicates the importance of the respective document to the client. Documents are transferred from the server to the client if their document scores exceed a threshold value. The calculation of the document score can be determined from time the document was created, the number of times the document has been read, the time the document was last accessed, the author of the document and one or more terms in the document. Relationships between the document and other documents on the server database can also affect the document score.
摘要翻译：描述了一种使客户端与服务器同步的方法。为服务器数据库中的每个文档计算文档分数。文件分数表示相应文件对客户端的重要性。如果文档的分数超过阈值，文档将从服务器传输到客户端。文档分数的计算可以从创建文档的时间，文档读取次数，文档上次访问的时间，文档的作者和文档中的一个或多个术语来确定。文档和服务器数据库上的其他文档之间的关系也会影响文档分数。

3. 发明授权

US06804670B2 Method for automatically finding frequently asked questions in a helpdesk data set 失效
标题翻译：在帮助台数据集中自动查找常见问题的方法
公开(公告)号：US06804670B2
公开(公告)日：2004-10-12
申请号：US09935473
申请日：2001-08-22
申请人： Jeffrey Thomas Kreulen , Justin Thomas Lessler , Michael Ponce Sanchez , William Scott Spangler
发明人： Jeffrey Thomas Kreulen , Justin Thomas Lessler , Michael Ponce Sanchez , William Scott Spangler
IPC分类号： G06F1730
CPC分类号： G06F17/3071 , Y10S707/99933 , Y10S707/99935 , Y10S707/99937 , Y10S707/99943
摘要： A system and method automatically identify candidate helpdesk problem categories that are most amenable to automated solutions. The system generates a dictionary wherein each word in the text data set is identified, and the number of documents containing these words is counted, and a corresponding count is generated. The documents are partitioned into clusters. For each generated cluster, the system sorts the dictionary terms in order of decreasing occurrence frequency. It then determines a search space by selecting the top dictionary terms as specified by a user defined depth of search. Next, the system chooses a set of terms from the search space as specified by a user-defined value indicating the desired level of detail. For each possible combination of frequent terms in the search space, the system finds the set of examples containing all the terms, and then determines if the frequency is sufficiently high and the overlap sufficiently low for this candidate set of examples to be a frequently asked question.
摘要翻译：系统和方法自动识别最适合于自动化解决方案的候选帮助台问题类别。系统生成字典，其中识别文本数据集中的每个字，并且包含这些字的文档的数量被计数，并且生成相应的计数。这些文件被分成几个集群。对于每个生成的集群，系统按照发生次数减少的顺序排列字典项。然后，通过选择由用户定义的搜索深度指定的顶部词典术语来确定搜索空间。接下来，系统从搜索空间中选择一组由用户定义的值指定的值，该值指示所需的详细程度。对于搜索空间中频繁项的每个可能的组合，系统找到包含所有项的示例集合，然后确定频率是否足够高，并且该候选组示例的重叠足够低是常见问题。

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