会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 32. 发明授权
    • Adaptive dissemination of personalized and contextually relevant information
    • 自适应地传播个性化和内容相关的信息
    • US07577718B2
    • 2009-08-18
    • US11461388
    • 2006-07-31
    • Dean A. SlawsonRaman ChandrasekarMichael K. Forney
    • Dean A. SlawsonRaman ChandrasekarMichael K. Forney
    • G06F15/16
    • G06F17/30867H04L67/02Y10S707/99933Y10S707/99937
    • An information dissemination system identifies the interests of a user from information derived from various sources, such as, by way of example, the user's calendar entries, emails, World Wide Web (web) usage information, documents, enterprise resource planning (ERP) data, and the like. The information dissemination system then creates a profile for the user, and includes in the profile the details about the user's interests including the information sources to query, the user events which were analyzed to determine the user's interest, the topics derived from the analyzed events, the queries generated for the analyzed events, a language model of terms that are relevant to the user, and other information regarding the user. The information dissemination system then periodically executes the queries against the appropriate information sources, ranks the search results obtained from executing the queries, and renders the ranked search results to the user.
    • 信息传播系统通过例如用户的日历条目,电子邮件,万维网(Web)使用信息,文档,企业资源规划(ERP)数据)等来自各种来源的信息来识别用户的兴趣 ,等等。 信息传播系统然后为用户创建简档,并且在简档中包括关于用户兴趣的细节,包括要查询的信息源,被分析以确定用户兴趣的用户事件,从分析的事件导出的主题, 为分析事件生成的查询,与用户相关的术语的语言模型以及与用户有关的其他信息。 然后,信息传播系统周期性地对适当的信息源执行查询,对从执行查询获得的搜索结果进行排序,并将排名的搜索结果呈现给用户。
    • 33. 发明授权
    • Method and system for performing phrase/word clustering and cluster merging
    • 用于执行短语/单词聚类和集群合并的方法和系统
    • US07519590B2
    • 2009-04-14
    • US10457686
    • 2003-06-09
    • Raman ChandrasekarDavid W. Steinkraus
    • Raman ChandrasekarDavid W. Steinkraus
    • G06F17/30
    • G06F17/3061Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99936Y10S707/99938
    • Text classification has become an important aspect of information technology. Present text classification techniques range from simple text matching to more complex clustering methods. Clustering describes a process of discovering structure in a collection of characters. The invention automatically analyzes a text string and either updates an existing cluster or creates a new cluster. To that end, the invention may use a character n-gram matching process in addition to other heuristic-based clustering techniques. In the character n-gram matching process, each text string is first normalized using several heuristics. It is then divided into a set of overlapping character n-grams, where n is the number of adjacent characters. If the commonality between the text string and the existing cluster members satisfies a pre-defined threshold, the text string is added to the cluster. If, on the other hand, the commonality does not satisfy the pre-defined threshold, a new cluster may be created. Each cluster may have a selected topic name. The topic name allows whole clusters to be compared in a similar way to the individual clusters, and merged when a predetermined level of commonality exists between the subject clusters. The topic name also may be used as a suggested alternative to the text string. In this instance, the topic name of the cluster to which the text string was added may be outputted as an alternative to the text string.
    • 文本分类已成为信息技术的一个重要方面。 现在的文本分类技术从简单的文本匹配到更复杂的聚类方法。 聚类描述了一个发现字符集合中的结构的过程。 本发明自动分析文本字符串,并更新现有集群或创建新集群。 为此,除了其他基于启发式的聚类技术之外,本发明可以使用字符n-gram匹配过程。 在字符n-gram匹配过程中,每个文本字符串首先使用几个启发式进行归一化。 然后将其分成一组重叠的字符n-gram,其中n是相邻字符的数量。 如果文本字符串和现有集群成员之间的通用性满足预定义的阈值,则将文本字符串添加到集群中。 另一方面,如果共通性不能满足预定义的阈值,则可以创建新的集群。 每个群集可能具有选定的主题名称。 主题名称允许以类似于每个集群的方式比较整个集群,并且当主体集群之间存在预定级别的共性时进行合并。 主题名称也可以用作文本字符串的建议替代。 在这种情况下,可以输出添加文本字符串的集群的主题名称作为文本字符串的替代方法。
    • 34. 发明授权
    • Building and using subwebs for focused search
    • 建立和使用子网进行重点搜索
    • US07392278B2
    • 2008-06-24
    • US10778498
    • 2004-02-13
    • Harr ChenRaman ChandrasekarSimon H. CorstonEric D. Brill
    • Harr ChenRaman ChandrasekarSimon H. CorstonEric D. Brill
    • G06F17/30
    • G06F17/30867Y10S707/99933
    • A system that facilitates performance of a focused search over a collection of sites comprises a subweb that corresponds to a topic and/or user characteristic(s) that are of interest to the user. The subweb includes a plurality of domains and/or paths (e.g. sites) that are related to the topic and/or the user characteristic(s). Each of the sites within the subweb is assigned a weight that indicates relevance of the site to the desirable topic and/or user characteristic(s). A search engine employs the subweb to facilitate focusing a search over a collection of sites. The search engine receives a query, and utilizes the subweb to focus a search over the selection of sites corresponding to the topic and/or user characteristic(s) represented by the subweb. The results from the search are returned to the user based at least in part upon the relevance weights assigned to the sites within the subweb.
    • 有助于在站点集合上进行聚焦搜索的性能的系统包括对应于用户感兴趣的主题和/或用户特征的子网。 子网包括与主题和/或用户特征相关的多个域和/或路径(例如站点)。 子网站中的每个站点都被分配一个权重,指示站点与期望主题和/或用户特征的相关性。 搜索引擎使用子网站来促进将搜索集中在一系列网站上。 搜索引擎接收查询,并利用子网将搜索集中在与由子网站所代表的主题和/或用户特征相对应的站点的选择上。 至少部分地基于分配给子网站内的站点的相关性权重将搜索结果返回给用户。