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    • 1. 发明申请
    • SYSTEMS AND METHODS FOR ATTRIBUTE-BASED SEARCH FILTERING
    • 用于基于属性搜索过滤的系统和方法
    • US20120173553A1
    • 2012-07-05
    • US12983760
    • 2011-01-03
    • Johan JohanssonSashanka VishnuvajhalaAyon SinhaHugh Evan Williams
    • Johan JohanssonSashanka VishnuvajhalaAyon SinhaHugh Evan Williams
    • G06F17/30
    • G06F16/955G06F16/958
    • A method and a system filter search results according to attributes of current results. A plurality of content elements is tagged so each content element is associated with a plurality of tags. Each tag describes an attribute of at least one of the plurality of content elements. A first listing of results is provided to a user. Each of the results in the first listing includes a content element and the plurality of tags associated with the content element. A first selection of a first tag in a first result of the first listing received from a user. A second selection of a second tag is received from the user. The second tag may be in the first result or in a second result of the first listing of results. A second listing of results is provided to the user where each of the results of the second listing includes at least the first tag and the second tag.
    • 根据当前结果的属性,对方法和系统过滤器进行搜索。 标记多个内容元素,使得每个内容元素与多个标签相关联。 每个标签描述多个内容元素中的至少一个的属性。 结果的第一个列表提供给用户。 第一列表中的每个结果包括内容元素和与内容元素相关联的多个标签。 从用户接收到的第一列表的第一结果中的第一标签的第一选择。 从用户接收第二标签的第二选择。 第二个标签可能处于第一个结果或第一个结果列表的第二个结果。 结果的第二列表被提供给用户,其中第二列表的每个结果至少包括第一标签和第二标签。
    • 6. 发明申请
    • SYSTEMS AND METHODS FOR TREND AWARE SELF-CORRECTING ENTITY RELATIONSHIP EXTRACTION
    • 自动修正实体关系提取的系统和方法
    • US20110238615A1
    • 2011-09-29
    • US13070166
    • 2011-03-23
    • Ayon Sinha
    • Ayon Sinha
    • G06N5/02
    • G06N5/04G06F17/30867G06N5/02G06N7/005G06N99/005G06Q30/02G06Q30/0201G06Q30/0631G06Q50/01
    • Methods and systems for trend aware self-correcting entity relationship extraction are disclosed. For example, a method can include receiving a selected entity, determining a plurality of entities related to the selected entity, determining a plurality of most probable entities, calculating relevance scores, and displaying a subset of the plurality of most probable entities. The selected entity can be received on a network-based transaction system. The plurality of entities related to the selected entity can be determined based on a relationship score. The relationship score can represent navigation transitions, aggregated over time, between the selected entity and each of the plurality of entities. The plurality of most probable entities can be determined based on probabilities. Relevance scores can be calculated for each of the plurality of most probable entities. Finally, the subset of the plurality of most probable entities to be displayed can be determined according to the relevance scores.
    • 披露了趋势识别自纠正实体关系提取的方法和系统。 例如,一种方法可以包括接收所选择的实体,确定与所选择的实体相关的多个实体,确定多个最可能的实体,计算相关性分数,以及显示多个最可能的实体的子集。 可以在基于网络的交易系统上接收所选择的实体。 可以基于关系得分来确定与所选择的实体相关的多个实体。 关系分数可以表示在所选择的实体和多个实体中的每一个之间随时间聚合的导航转换。 可以基于概率来确定多个最可能的实体。 可以为多个最可能的实体中的每一个计算相关性分数。 最后,可以根据相关性得分来确定要显示的多个最可能的实体的子集。