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    • 2. 发明申请
    • System And Method For Providing A Topic-Directed Search
    • 提供主题搜索的系统和方法
    • US20100057716A1
    • 2010-03-04
    • US12354681
    • 2009-01-15
    • Mark J. StefikLichan HongStuart K. CardPeter L. Pirolli
    • Mark J. StefikLichan HongStuart K. CardPeter L. Pirolli
    • G06F7/06G06F17/30
    • G06F17/3071
    • A system and method for providing a topic-directed search is provided, which advantageously harnesses user-provided topical indexes and an ability to characterize indexes according to how articles fall under their topical organizations. A corpus of articles and an index that includes topics from the articles is maintained. For each topic, a coarse-grained topic model is built, which includes the characteristic words included in the articles relating to the topic and scores assigned to the characteristic words. A search query is executed against the index. The topics that match the search terms are chosen by their scores. The topics that match the coarse-grained topic models and the articles corresponding to the search query are presented. In contrast to conventional search engines, search results are organized according to topic and search results can be offered across multiple indexes, where part of returned results are selected from most-relevant indexes with their most-relevant topics.
    • 提供了一种用于提供主题定向搜索的系统和方法,其有利地利用用户提供的主题索引和根据文章属于其主题组织的方式来表征索引的能力。 维护文章的语料库和包含文章主题的索引。 对于每个主题,构建了一个粗粒度主题模型,其中包括与主题相关的文章中包含的特征词以及分配给特征词的分数。 针对索引执行搜索查询。 与搜索词匹配的主题由他们的分数来选择。 介绍了与粗粒度主题模型匹配的主题以及与搜索查询相对应的文章。 与常规搜索引擎相比,搜索结果根据主题进行组织,搜索结果可以跨多个索引提供,其中返回结果的一部分从与其最相关的主题的最相关的索引中选择。
    • 5. 发明授权
    • System and method for inferring user information need in hypermedia linked document collection
    • 用于推断用户信息的系统和方法需要超媒体链接的文档收集
    • US07017110B1
    • 2006-03-21
    • US09540063
    • 2000-03-31
    • Ed H. ChiPeter L. PirolliJames E. Pitkow
    • Ed H. ChiPeter L. PirolliJames E. Pitkow
    • G06F17/00
    • G06F17/30855G06F17/30867G06F17/30882
    • The present invention provides a system and method for inferring information need in a collection of hypermedia documents that is based on the observation that a user's hypertext link traversal decisions are typically based on the nature of that user's information need. The system identifies the hypermedia linkage structure among the plurality of documents in the collection. The documents include content items that may be relevant to a user information need. The system then accepts a user path item that represents a user's hypermedia link traversal history and applies a network flow model to the user path item in the hypermedia link information in order to create a document vector. The system also determines the distribution of the content items in the document collection, and then compares the document vector to the content item distribution in order to determine an inferred information need.
    • 本发明提供了一种用于在超媒体文档的集合中推断信息需求的系统和方法,其基于用户的超文本链接遍历决定通常基于该用户的信息需要的性质的观察。 系统识别集合中的多个文档之间的超媒体联动结构。 这些文件包括可能与用户信息需要相关的内容项。 然后,系统接受表示用户的超媒体链接遍历历史的用户路径项目,并将网络流模型应用于超媒体链接信息中的用户路径项目,以便创建文档向量。 系统还确定文档收集中的内容项目的分布,然后将文档向量与内容项目分布进行比较,以确定推断的信息需求。
    • 10. 发明授权
    • System for ranking search results from a collection of documents using spreading activation techniques
    • 用于使用扩展激活技术从文档集合中搜索结果排序的系统
    • US06272507B1
    • 2001-08-07
    • US09163595
    • 1998-09-29
    • Peter L. PirolliJames E. PitkowBernardo A. Huberman
    • Peter L. PirolliJames E. PitkowBernardo A. Huberman
    • G06F1500
    • G06F17/30864G06F17/30011Y10S707/99935
    • A system and method for ranking the results of a search on a collection of linked documents. Documents found on the Web are typically referred to as Web pages. The system utilizes various information relating to the collection of linked documents, including the topology, content and historical usage of the linked collections of documents. The ranking is based on historical patterns and information about the current context of interest (e.g. what the user or group seems to be currently interested in doing). A spreading activation technique is used to identify the frequency of activation of the documents in the search results. Spreading activation techniques are based on representations of Web pages as nodes in graph networks representing usage, content, and hypertext relations among Web pages. After performing the spreading activation based on an initial set defined by the search results, each document from the results may be ranked based on their level of activation.
    • 一种用于对链接文档集合进行搜索的结果进行排名的系统和方法。 在Web上找到的文档通常被称为网页。 该系统利用与链接文件的收集有关的各种信息,包括链接的文档集合的拓扑,内容和历史使用。 排名是基于历史模式和关于当前感兴趣的上下文的信息(例如用户或组似乎目前感兴趣的)。 扩展激活技术用于识别搜索结果中文档的激活频率。 扩展激活技术基于网页的表示,作为表示网页中的使用,内容和超文本关系的图形网络中的节点。 在基于由搜索结果定义的初始集合执行扩展激活之后,来自结果的每个文档可以基于其激活水平进行排名。