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    • 1. 发明授权
    • Interactive search engine
    • 互动搜索引擎
    • US07516124B2
    • 2009-04-07
    • US11313525
    • 2005-12-20
    • Richard Kasperski
    • Richard Kasperski
    • G06F17/30
    • G06F17/30634G06F17/30395G06F17/30522G06F17/30542G06F17/3064G06F17/30864Y10S707/99933
    • A method and apparatus for providing a highly interactive user interface to a search engine using user input prediction is disclosed. As the user enters a portion of a query in a query field, the portion of the query is sent over a network to a query predictor. The query predictor determines a set of one or more predicted queries that correspond to the portion of the query. A particular predicted query is selected from the set of predicted queries based on selection criteria. The particular predicted query is processed by a search engine to obtain search results. The set of predicted queries and the search results are sent to the user and displayed on the user interface. The user may choose a different predicted query in the set of predicted queries or continue entering characters, both of which may result in different search results being displayed.
    • 公开了一种用于使用用户输入预测来向搜索引擎提供高度交互的用户界面的方法和装置。 当用户在查询字段中输入查询的一部分时,查询的部分将通过网络发送到查询预测器。 查询预测器确定与查询的该部分相对应的一个或多个预测查询的集合。 从基于选择标准的预测查询集中选择特定的预测查询。 特定的预测查询由搜索引擎处理以获得搜索结果。 将预测查询和搜索结果集发送给用户并显示在用户界面上。 用户可以在预测查询集合中选择不同的预测查询,或继续输入字符,这两者都可能导致显示不同的搜索结果。
    • 6. 发明授权
    • Biasing queries to determine suggested queries
    • 偏移查询以确定建议的查询
    • US07844599B2
    • 2010-11-30
    • US11430488
    • 2006-05-08
    • Richard KasperskiFarzin Maghoul
    • Richard KasperskiFarzin Maghoul
    • G06F7/06G06F17/30G06F3/14
    • G06F17/30967
    • Applying a bias when determining a suggested search query. Examples of biases that can be applied include, but are not limited to, temporal biases and monetization biases. Temporal biasing involves increasing a weight associated with a search query, based on a temporal attribute associated with the query. Search queries may also have associated with them a parameter such as frequency, count, etc. One of these parameters may serve as a weight. In order to determine suggested search queries, the temporal attribute is used to modify or bias the parameter (e.g., frequency parameter). Thus, the weight of the search query is modified to temporally bias the query. The suggested search queries are determined based on the biased parameter.
    • 在确定建议的搜索查询时应用偏倚。 可应用的偏差的例子包括但不限于时间偏差和货币化偏见。 时间偏移包括基于与查询相关联的时间属性来增加与搜索查询相关联的权重。 搜索查询也可能与它们相关联,诸如频率,计数等参数。这些参数中的一个可以用作权重。 为了确定建议的搜索查询,使用时间属性来修改或偏置参数(例如,频率参数)。 因此,搜索查询的权重被修改为在时间上偏向查询。 建议的搜索查询是基于偏置参数确定的。
    • 8. 发明申请
    • Biasing queries to determine suggested queries
    • 偏移查询以确定建议的查询
    • US20070050339A1
    • 2007-03-01
    • US11430488
    • 2006-05-08
    • Richard KasperskiFarzin Maghoul
    • Richard KasperskiFarzin Maghoul
    • G06F17/30
    • G06F17/30967
    • Applying a bias when determining a suggested search query. Examples of biases that can be applied include, but are not limited to, temporal biases and monetization biases. Temporal biasing involves increasing a weight associated with a search query, based on a temporal attribute associated with the query. Search queries may also have associated with them a parameter such as frequency, count, etc. One of these parameters may serve as a weight. In order to determine suggested search queries, the temporal attribute is used to modify or bias the parameter (e.g., frequency parameter). Thus, the weight of the search query is modified to temporally bias the query. The suggested search queries are determined based on the biased parameter.
    • 在确定建议的搜索查询时应用偏倚。 可应用的偏差的例子包括但不限于时间偏差和货币化偏见。 时间偏移包括基于与查询相关联的时间属性来增加与搜索查询相关联的权重。 搜索查询也可能与它们相关联,诸如频率,计数等参数。这些参数中的一个可以用作权重。 为了确定建议的搜索查询,使用时间属性来修改或偏置参数(例如,频率参数)。 因此,搜索查询的权重被修改为在时间上偏向查询。 建议的搜索查询是基于偏置参数确定的。