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    • 3. 发明授权
    • Recent content rank adjustment with inverted decay
    • 最近的内容排名调整与倒置衰减
    • US08346799B1
    • 2013-01-01
    • US12766415
    • 2010-04-23
    • François HuetAnil A. SewaniDaniel E. Rose
    • François HuetAnil A. SewaniDaniel E. Rose
    • G06F7/00G06F17/30
    • G06F17/30864
    • A search facility may optimize search result ranking by applying inverted decay transformations to history-dependent ranking components. Ranking scores for content in a content collection may be based on a set of ranking components including history-dependent ranking components. History-dependent ranking components may be based on historical behavioral data such as historical searches, actions taken with respect to content such as viewing content and content-related purchases. Content recently added to the content collection may be disadvantaged relative to content with an established history. Inverted decay transformations may correspond to simulations of additional historical behavioral data.
    • 搜索工具可以通过对历史相关的排序组件应用反向衰变变换来优化搜索结果排序。 内容集合中的内容的排名分数可以基于一组排名组件,包括历史依赖的排名组件。 历史相关的排名组件可以基于历史行为数据,例如历史搜索,关于诸如查看内容和与内容有关的购买的内容所采取的动作。 内容集合中最近添加的内容相对于具有既定历史的内容可能会处于不利地位。 反向衰变变换可能对应于其他历史行为数据的模拟。
    • 5. 发明授权
    • Topic-focused search result summaries
    • 以主题为重点的搜索结果摘要
    • US07921092B2
    • 2011-04-05
    • US11633762
    • 2006-12-04
    • Peter AnickSwati RajuDaniel E. Rose
    • Peter AnickSwati RajuDaniel E. Rose
    • G06F7/00
    • G06F17/30696
    • Techniques for automatically generating and displaying topic-focused summaries for search results are disclosed. Users can “peek” inside a search result to see document excerpts that pertain specifically to a user-selected topic. Thus, a user can view the aspects of a document that are most interesting prior to deciding whether to retrieve the complete document. For each search result, a user can select from among several different available summaries, each of which focuses on a different topic of the document to which that search result refers. According to one aspect, key concepts are automatically identified in a document. For each such key concept, contextual snippets that pertain to that key concept are automatically selected. The key concepts are displayed to the user at search time. A summary that contains the contextual snippets that pertain to a user-selected key concept is displayed in response to the user's selection of that key concept.
    • 公开了自动生成和显示针对搜索结果的主题聚合摘要的技术。 用户可以在搜索结果中“窥视”查看专门针对用户选择的主题的文档摘录。 因此,在决定是否检索完整文档之前,用户可以查看最有趣的文档的各个方面。 对于每个搜索结果,用户可以从几个不同的可用摘要中进行选择,每个摘要集中在该搜索结果所参考的文档的不同主题上。 根据一个方面,在文档中自动识别关键概念。 对于每个这样的关键概念,自动选择与该关键概念相关的上下文片段。 关键概念在搜索时显示给用户。 响应于用户对该关键概念的选择,显示包含与用户选择的关键概念相关的上下文片段的摘要。
    • 7. 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。