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    • 1. 发明授权
    • System and method for search and recommendation based on usage mining
    • 基于使用挖掘的搜索和推荐系统和方法
    • US07092936B1
    • 2006-08-15
    • US09933905
    • 2001-08-22
    • Omar AlonsoAtul Kumar
    • Omar AlonsoAtul Kumar
    • G06F7/00G06F17/30G06F17/00
    • G06F17/30672Y10S707/917Y10S707/99933Y10S707/99935Y10S707/99936Y10S707/99943
    • A method, system, and computer program product for performing searching that generates improved queries, retrieves meaningful and relevant information, and presents the retrieved information to the user in a useful and comprehensive manner is described. The method of searching comprises the steps of: receiving from a user a search query requesting information, retrieving at least one recommendation relating to the search query, generating an expanded query based on the received query, performing a search using the expanded query to retrieve documents, and generating themes relating to the retrieved documents. The at least one recommendation relating to the search query is retrieved from a recommendation database. The recommendation database is generated by performing the steps of: performing data mining using users search query logs, user search patterns, and user profile information to generate a plurality of recommendations relating to search query strings, generating a data structure including the recommendations relating to search query strings, and generating a text index based on information in the data structure.
    • 描述了一种用于执行产生改进查询的搜索,检索有意义的和相关信息并以有用和全面的方式向用户呈现检索到的信息的方法,系统和计算机程序产品。 搜索方法包括以下步骤:从用户接收请求信息的搜索查询,检索与搜索查询相关的至少一个建议,基于接收的查询生成扩展查询,使用扩展查询执行搜索以检索文档 并产生与检索到的文档有关的主题。 从推荐数据库检索关于搜索查询的至少一个建议。 通过执行以下步骤生成推荐数据库:使用用户搜索查询日志,用户搜索模式和用户简档信息执行数据挖掘以生成与搜索查询字符串相关的多个建议,生成包括与搜索有关的建议的数据结构 查询字符串,并根据数据结构中的信息生成文本索引。
    • 7. 发明申请
    • PROVIDING QUESTIONS TO ENTITY GROUPS
    • 向实体组提供问题
    • US20130260352A1
    • 2013-10-03
    • US13437015
    • 2012-04-02
    • Ittai AbrahamOmar AlonsoVasilis KandylasAleksandrs Slivkins
    • Ittai AbrahamOmar AlonsoVasilis KandylasAleksandrs Slivkins
    • G09B5/00
    • G09B7/02
    • Entities that answer questions are organized into entity groups. An interface determines an answer to a question from one of the entity groups with a confidence that is greater than a second confidence threshold. To determine the answer, the interface performs an exploration phase where the interface asks the question to each of the entity groups. Entity groups that provide answers with a confidence that is greater than a first confidence threshold are selected for a subset. The interface enters an exploitation phase where the question is asked of the entity groups in the subset. If an answer is determined with a confidence that is greater than the second confidence threshold, then the answer is provided. If no answer is determined before a duration of time expires, then the interface enters a rollback phase where all of the entity groups are considered.
    • 回答问题的实体被组织成实体组。 接口从具有大于第二置信度阈值的置信度的一个实体组确定对问题的答案。 为了确定答案,接口执行一个探索阶段,其中接口向每个实体组询问问题。 为一个子集选择提供大于第一置信度阈值的置信度答案的实体组。 界面进入开发阶段,问题是子集中的实体组。 如果以大于第二置信度阈值的置信度确定答案,则提供答案。 如果在一段时间到期之前没有确定答案,则接口进入所有实体组被考虑的回滚阶段。
    • 9. 发明授权
    • Document summarization
    • 文件总结
    • US08027979B2
    • 2011-09-27
    • US12829766
    • 2010-07-02
    • Ciya LiaoOmar AlonsoJoaquin A. DelgadoThomas H. ChangMeeten Bhavsar
    • Ciya LiaoOmar AlonsoJoaquin A. DelgadoThomas H. ChangMeeten Bhavsar
    • G06F7/00G06F17/00
    • G06F17/30719
    • Systems, methods, and other embodiments associated with automatically summarizing a document are described. One method embodiment includes computing term scores for members of a set of terms in a document to be summarized and computing sentence scores for sentences in a set of sentences in the document. The method embodiment also includes computing a set of entries for a term-sentence matrix that relates terms to sentences. The method embodiment also includes computing a dominant topic for the document and simultaneously ranking the set of terms and the set of sentences based on the dominant topic. The method embodiment provides a summarization item(s) selected from the set of terms and/or the set of sentences.
    • 描述与自动总结文档相关联的系统,方法和其他实施例。 一个方法实施例包括计算要汇总的文档中的一组术语的成员的术语分数,以及计算文档中一组句子中的句子的句子分数。 方法实施例还包括计算用于将术语与句子相关联的术语矩阵的条目集合。 该方法实施例还包括计算文档的主导主题,并且基于主题来同时对该组语句和一组句子进行排序。 该方法实施例提供从该组项和/或一组句子中选择的摘要项目。
    • 10. 发明授权
    • Document summarization
    • 文件总结
    • US07783640B2
    • 2010-08-24
    • US11647871
    • 2006-12-29
    • Ciya LiaoOmar AlonsoJoaquin A. DelgadoThomas H. ChangMeeten Bhavsar
    • Ciya LiaoOmar AlonsoJoaquin A. DelgadoThomas H. ChangMeeten Bhavsar
    • G06F7/00G06F17/30
    • G06F17/30719
    • Systems, methods, and other embodiments associated with automatically summarizing a document are described. One method embodiment includes computing term scores for members of a set of terms in a document to be summarized and computing sentence scores for sentences in a set of sentences in the document. The method embodiment also includes computing a set of entries for a term-sentence matrix that relates terms to sentences. The method embodiment also includes computing a dominant topic for the document and simultaneously ranking the set of terms and the set of sentences based on the dominant topic. The method embodiment provides a summarization item(s) selected from the set of terms and/or the set of sentences.
    • 描述与自动总结文档相关联的系统,方法和其他实施例。 一个方法实施例包括计算要汇总的文档中的一组术语的成员的术语分数,以及计算文档中一组句子中的句子的句子分数。 方法实施例还包括计算用于将术语与句子相关联的术语矩阵的条目集合。 该方法实施例还包括计算文档的主导主题,并且基于主题来同时对该组语句和一组句子进行排序。 该方法实施例提供从该组项和/或一组句子中选择的摘要项目。