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1.再颁专利System for ranking the relevance of information objects accessed by computer users 有权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公开(公告)号：USRE41899E1
公开(公告)日：2010-10-26
申请号：US10388362
申请日：2003-03-12
IPC分类号： G06N5/02
CPC分类号： G06F17/30699
摘要： 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.
摘要翻译： 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。
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2.发明授权System for ranking the relevance of information objects accessed by computer users 失效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公开(公告)号：US06202058B1
公开(公告)日：2001-03-13
申请号：US08231655
申请日：1994-04-25
IPC分类号： G06F1516
CPC分类号： G06F17/30699
摘要： 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.
摘要翻译： 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。
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