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    • 6. 发明授权
    • System and method for improving the ranking of information retrieval
results for short queries
    • 用于提高短查询信息检索结果排名的系统和方法
    • US5870740A
    • 1999-02-09
    • US719816
    • 1996-09-30
    • Daniel E. RoseDouglass R. Cutting
    • Daniel E. RoseDouglass R. Cutting
    • G06F17/30
    • G06F17/30675Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99937
    • A method and system for retrieving information in response to a query by a user. The method includes the steps of receiving a signal s having a value corresponding to a relevance-ranking algorithm score of a retrieved document, receiving a signal q having a value corresponding to the number of words in the query and a signal v having a value corresponding to the coordination level of the retrieved document and query (i.e., the degree of overlap between the document terms and the query terms), and generating an adjusted score s1 dependent on the signal s, the signal q and the signal v. The adjusted score s1 takes the coordination level into account for small values of q and gradually decreases the importance of the coordination level as q increases. The system of this invention includes a computer-based system for carrying out the method of this invention.
    • 用于响应于用户的查询来检索信息的方法和系统。 该方法包括以下步骤:接收具有对应于检索到的文档的相关性排序算法得分的值的信号s,接收具有与查询中的字数相对应的值的信号q和具有对应值的信号v 到所检索的文档和查询的协调级别(即,文档项与查询项之间的重叠程度),并根据信号s,信号q和信号v产生调整得分s1。调整得分 s1考虑到q的小值的协调水平,并随着q的增加逐渐降低协调水平的重要性。 本发明的系统包括用于实施本发明的方法的基于计算机的系统。
    • 7. 发明授权
    • System for ranking the relevance of information objects accessed by computer users
    • 用于对计算机用户访问的信息对象的相关性进行排名的系统
    • US06202058B1
    • 2001-03-13
    • US08231655
    • 1994-04-25
    • Daniel E. RoseJeremy J. BornsteinKevin TieneDulce B. Ponceleón
    • Daniel E. RoseJeremy J. BornsteinKevin TieneDulce B. Ponceleón
    • G06F1516
    • G06F17/30699
    • Information presented to a user via an information access system is ranked according to a prediction of the likely degree of relevance to the user's interests. A profile of interests is stored for each user having access to the system. Items of information to be presented to a user are ranked according to their likely degree of relevance to that user and displayed in order of ranking. The prediction of relevance is carried out by combining data pertaining to the content of each item of information with other data regarding correlations of interests between users. A value indicative of the content of a document can be added to another value which defines user correlation, to produce a ranking score for a document. Alternatively, multiple regression analysis or evolutionary programming can be carried out with respect to various factors pertaining to document content and user correlation, to generate a prediction of relevance. The user correlation data is obtained from feedback information provided by users when they retrieve items of information. Preferably, the user provides an indication of interest in each document which he or she retrieves from the system.
    • 通过信息访问系统呈现给用户的信息根据与用户兴趣的可能程度的预测进行排名。 对于具有对系统的访问权限的每个用户,存储兴趣简档。 要呈现给用户的信息项根据其与该用户可能的相关程度进行排序并以排序的顺序显示。 通过将关于每个信息项的内容的数据与关于用户之间的兴趣相关性的其他数据组合来进行相关性的预测。 可以将指示文档内容的值添加到定义用户相关性的另一值,以产生文档的排名分数。 或者,可以针对与文档内容和用户相关性有关的各种因素进行多元回归分析或进化编程,以产生相关性的预测。 用户相关数据从用户检索信息项时提供的反馈信息获得。 优选地,用户在他或她从系统中检索的每个文档中提供感兴趣的指示。
    • 9. 再颁专利
    • System for ranking the relevance of information objects accessed by computer users
    • 用于对计算机用户访问的信息对象的相关性进行排名的系统
    • USRE41899E1
    • 2010-10-26
    • US10388362
    • 2003-03-12
    • Daniel E. RoseJeremy J. BornsteinKevin TieneDulce B. Ponceleón
    • Daniel E. RoseJeremy J. BornsteinKevin TieneDulce B. Ponceleón
    • G06N5/02
    • G06F17/30699
    • Information presented to a user via an information access system is ranked according to a prediction of the likely degree of relevance to the user's interests. A profile of interests is stored for each user having access to the system. Items of information to be presented to a user are ranked according to their likely degree of relevance to that user and displayed in order of ranking. The prediction of relevance is carried out by combining data pertaining to the content of each item of information with other data regarding correlations of interests between users. A value indicative of the content of a document can be added to another value which defines user correlation, to produce a ranking score for a document. Alternatively, multiple regression analysis or evolutionary programming can be carried out with respect to various factors pertaining to document content and user correlation, to generate a prediction of relevance. The user correlation data is obtained from feedback information provided by users when they retrieve items of information. Preferably, the user provides an indication of interest in each document which he or she retrieves from the system.
    • 通过信息访问系统呈现给用户的信息根据与用户兴趣的可能程度的预测进行排名。 对于具有对系统的访问权限的每个用户,存储兴趣简档。 要呈现给用户的信息项根据其与该用户可能的相关程度进行排序并以排序的顺序显示。 通过将关于每个信息项的内容的数据与关于用户之间的兴趣相关性的其他数据组合来进行相关性的预测。 可以将指示文档内容的值添加到定义用户相关性的另一值,以产生文档的排名分数。 或者,可以针对与文档内容和用户相关性有关的各种因素进行多元回归分析或进化编程,以产生相关性的预测。 用户相关数据从用户检索信息项时提供的反馈信息获得。 优选地,用户在他或她从系统中检索的每个文档中提供感兴趣的指示。