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    • 44. 发明授权
    • Method for automatically performing conceptual highlighting in electronic text
    • 在电子文本中自动执行概念突出显示的方法
    • US07702611B2
    • 2010-04-20
    • US11031641
    • 2005-01-07
    • Ed H. ChiLichan HongStuart K. Card
    • Ed H. ChiLichan HongStuart K. Card
    • G06F17/30
    • G06F17/241G06F17/2795G06F17/3061Y10S707/99931
    • User's interests can be explicitly determined via keywords that the user specifies, and/or are implicitly constructed from user browsing and reading activity. User interests may be expressed as an interest profile. Conceptual keywords related to user interests are selected by combining spreading activation and word co-occurrence, by latent semantic analysis, or other methods.One embodiment automatically highlights sentences and other information that contain conceptual keywords related to user interests. Highlights can be activated when the user directly performs a keyword search or index search, or the invention can generate information reflecting user interests, apply it to the text, and generate and display highlights. One embodiment includes an algorithm for computing a conceptual keyword vector through an iterative spreading activation process also employing word co-occurrence. A conceptual index of the text may be created and then combined with conceptual highlighting.
    • 可以通过用户指定的关键字和/或从用户浏览和阅读活动隐式构建用户兴趣。 用户兴趣可以表示为兴趣资料。 通过组合扩展激活和字共现,潜在语义分析或其他方法来选择与用户兴趣相关的概念关键词。 一个实施例自动突出包含与用户兴趣相关的概念关键词的句子和其他信息。 当用户直接执行关键词搜索或索引搜索时,可以激活亮点,或者本发明可以生成反映用户兴趣的信息,将其应用于文本,以及生成和显示亮点。 一个实施例包括用于通过也采用单词同现的迭代扩展激活过程来计算概念关键词向量的算法。 可以创建文本的概念索引,然后与概念突出显示相结合。
    • 45. 发明申请
    • SYSTEM AND METHOD FOR ANNOTATING DOCUMENTS
    • 提供文件的系统和方法
    • US20080201632A1
    • 2008-08-21
    • US11837837
    • 2007-08-13
    • Lichan HongEd H. Chi
    • Lichan HongEd H. Chi
    • G06F15/00
    • G06F16/951G06F16/38
    • Methods, apparatus and articles of manufacture therefor, are disclosed for annotating documents. An embodiment for annotating documents may be performed by the method of: retrieving a document selected for display by a user; locating sub-document elements in content of the retrieved document; computing a similarity measure for each of the located sub-document elements; identifying similarity measures of annotated sub-document elements and the located sub-document elements that indicate a correspondence there between; augmenting the located sub-document elements of the retrieved document with annotations of those annotated sub-document elements that have comparable similarity measures; displaying the retrieved document augmented with annotations.
    • 公开了用于注释文件的方法,装置和制造方法。 用于注释文档的实施例可以通过以下方法来执行:检索由用户选择供显示的文档; 将子文档元素定位在所检索文档的内容中; 计算每个位置的子文档元素的相似性度量; 识别注释的子文档元素和指示其间的对应的位置的子文档元素的相似性度量; 通过具有可比较的相似性度量的那些具有注释的子文档元素的注释来增强检索到的文档的位置的子文档元素; 显示检索到的文档,并增加了注释。
    • 46. 发明授权
    • Method for visualizing user path through a web site and a path's associated information scent
    • 通过网站可视化用户路径和路径相关信息气味的方法
    • US07043702B2
    • 2006-05-09
    • US09809388
    • 2001-03-15
    • Ed H. ChiPeter L. T. PirolliJames E. Pitkow
    • Ed H. ChiPeter L. T. PirolliJames E. Pitkow
    • G06G3/00
    • G06F17/30873
    • A method and system for visualizing actual and predicted usage patterns through a web site is provided. A plurality of web pages may be represented as a node and visualized on a dome tree. The dome tree is a three-dimensional image of a dome, with a portion of the outer wall removed, displayed on a two-dimensional monitor. Paths into and out of each node are displayed using a variety of colors and patterns and information relating to the nodes and paths may also be accessed. By designating a web page as the root node each of the associated pages are laid out within the dome tree radially based on actual usage information. Predicted information for each node is displayed as a bar near the node, thereby assisting a user in understanding the relationship between actual and predicted usage patterns.
    • 提供了通过网站可视化实际和预测的使用模式的方法和系统。 多个网页可以被表示为节点并且在圆顶树上可视化。 穹顶是圆顶的三维图像,外壁的一部分被去除,显示在二维监视器上。 使用各种颜色显示每个节点的进出路径,并且也可以访问与节点和路径有关的信息。 通过指定网页作为根节点,根据实际使用信息,每个相关联的页面都在径向内放置在圆顶树中。 每个节点的预测信息在节点附近显示为一个条,从而帮助用户了解实际和预测使用模式之间的关系。
    • 49. 发明授权
    • Systems and methods for predicting usage of a web site using proximal cues
    • 使用近端线索预测网站使用的系统和方法
    • US06907459B2
    • 2005-06-14
    • US09820706
    • 2001-03-30
    • Ed H. ChiKim K Chen
    • Ed H. ChiKim K Chen
    • G06F17/30G06F15/173
    • G06F17/30864G06F17/3089Y10S707/99933Y10S707/99935
    • Techniques are provided for predicting the usage of a document collection given proximal cue information in the documents, a starting point and the user's information needs. A document collection topology matrix is created indicating links between document content portions. The link entry documents are analyzed for proximal cue words based on link URL, surrounding text and title. For image links, the connected to document information may also be used. Proximal cue words are added to a matrix relating proximal cue words and links. The proximal scent matrix indicates a similarity between the user's information need and the proximal cue word matrix. A distal scent information matrix is also calculated using distal document information and combined with the proximal scent matrix. Spreading activation is then applied to the resulting matrix using the starting location for a requested number of iterations and resulting in a predicted usage of the document collection.
    • 提供了用于预测文档中的近端提示信息的文档集合的使用的技术,起点和用户的信息需求。 创建文档收集拓扑矩阵,指示文档内容部分之间的链接。 基于链接URL,周边文本和标题来分析链接条目文档的近端提示词。 对于图像链接,也可以使用连接到文档信息。 近似提示词被添加到关于近端提示词和链接的矩阵中。 近端气味矩阵表示用户的信息需求与近端提示词矩阵之间的相似性。 远端气味信息矩阵也使用远端文件信息计算并与近端气味矩阵组合。 然后使用所请求的迭代次数的起始位置将扩展激活应用于所得到的矩阵,并且导致文档集合的预测使用。
    • 50. 发明授权
    • Usage based methods of traversing and displaying generalized graph structures
    • 基于使用的遍历和显示广义图结构的方法
    • US06509898B2
    • 2003-01-21
    • US09062341
    • 1998-04-17
    • Ed H. ChiPeter L. T. PirolliJames E. PitkowRich GosswellerJock D. MackinlayStuart K. Card
    • Ed H. ChiPeter L. T. PirolliJames E. PitkowRich GosswellerJock D. MackinlayStuart K. Card
    • G06T1120
    • G06F17/30882G06F17/30014G06F17/30855Y10S707/99933
    • A method for generating a tree structure representation of a generalized graph structure for display includes the more important links in the representation. Usage parameters are referenced in generating the tree structure from the generalized graph structure. Frequency, recency, spacing of accesses, and path information are exemplary types of usage parameters. A breadth-first or depth-first traversal of the graph references usage parameters associated with each node or link. The usage parameters which are associated with each node are referenced in order to determine the visitation order. The visitation order is determined by visiting the highest used nodes or links first. A method of displaying the tree structure references the usage parameters to determine the positioning of the nodes in the layout of the tree structure. In a preferred embodiment, the root node is positioned in the center of the layout. In one example, sibling nodes are spread out on links which emanate radially about their parent. The highest-used sibling nodes can be placed farthest apart from each other so as to achieve optimal separation so that they have the most growth space. The lowest-used nodes are then placed in the remaining space between the high-usage nodes. In another example, sibling nodes are positioned at the same radius from the root node. Each leaf node in the hierarchy is assigned the same amount of angular space. The layout angle of each node is a function of the ranking of the node's usage parameter relative to its siblings. Derived usage parameters such as need probability, cocitation clustering, or functions of both node and link usages can alternatively be referenced.
    • 用于生成用于显示的广义图形结构的树结构表示的方法包括表示中更重要的链接。 从广义图结构生成树结构时引用使用参数。 频率,新近度,访问间隔和路径信息是使用参数的示例性类型。 图的宽度优先或深度优先遍历引用与每个节点或链接相关联的使用参数。 引用与每个节点相关联的使用参数,以确定访问顺序。 访问次序通过首先访问最高使用的节点或链接来确定。 显示树结构的方法引用使用参数来确定节点在树结构的布局中的定位。 在优选实施例中,根节点位于布局的中心。 在一个示例中,兄弟节点被散布在围绕其父节点辐射的链接上。 最高使用的兄弟节点可以彼此离开最远,以便实现最佳分离,使其具有最大的生长空间。 然后将最低使用的节点放置在高使用率节点之间的剩余空间中。 在另一个示例中,兄弟节点位于与根节点相同的半径处。 层次结构中的每个叶节点被分配相同的角度空间量。 每个节点的布局角度是节点的使用参数相对于其兄弟姐妹的排序的函数。 替代地可以引用派生的使用参数,例如需求概率,串联聚类或节点和链接使用的功能。