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    • 3. 发明申请
    • RANKING SEARCH RESULTS USING RESULT REPETITION
    • 使用结果重复排列搜索结果
    • US20130246412A1
    • 2013-09-19
    • US13420591
    • 2012-03-14
    • Milad ShokouhiRyen William WhitePaul Nathan Bennett
    • Milad ShokouhiRyen William WhitePaul Nathan Bennett
    • G06F17/30
    • G06F17/30867
    • Ranking search results using result repetition is described. In an embodiment, a set of results generated by a search engine is ranked or re-ranked based on whether any of the results were included in previous sets of results generated in response to earlier queries by the same user in one or more searching sessions. User behavior data, such as whether a user clicks on a result, skips a result or misses a result, is stored in real-time and the stored data is used in performing the ranking. In various examples, the ranking is performed using a machine-learning algorithm and various parameters, such as whether a result in a current set of results has previously been clicked, skipped or missed in the same session, are generated based on the user behavior data for the current session and input to the machine-learning algorithm.
    • 描述使用结果重复排列搜索结果。 在一个实施例中,基于是否将任何结果包括在响应于同一用户在一个或多个搜索会话中的较早查询而生成的先前的结果集合中来对搜索引擎生成的一组结果进行排名或重新排序。 实时存储用户行为数据,例如用户是否点击结果,跳过结果或丢失结果,并且存储的数据用于执行排名。 在各种示例中,使用机器学习算法执行排名,并且基于用户行为数据生成各种参数,诸如是否先前在同一会话中点击,跳过或丢失了当前结果集中的结果 为当前会话并输入到机器学习算法。
    • 4. 发明申请
    • TEMPORAL VISUALIZATION OF QUERY RESULTS
    • 查询结果的时间可视化
    • US20130138638A1
    • 2013-05-30
    • US13306111
    • 2011-11-29
    • Kyriakos KarenosFrancesco NiditoMilad ShokouhiIgor Nitto
    • Kyriakos KarenosFrancesco NiditoMilad ShokouhiIgor Nitto
    • G06F17/30
    • G06F17/30696G06F17/30554
    • One or more techniques and/or systems are disclosed for constructing a temporal visualization of query results. That is, query results associated with temporal information, such as timestamps, may be used to create a temporal distribution (e.g., query results comprising images and image capture dates, web pages and web page creation dates, etc.). The temporal distribution may comprise a distribution of the query results over time (e.g., query results may be sorted and/or grouped based upon dates specified by the timestamps). A temporal visualization of the query results may be constructed using the temporal distribution. For example, query results may be assigned to date slots within the temporal visualization. The temporal visualization may illustrate a substantial number of query results (e.g., thousands) that may otherwise not be visually presentable at once. Zoom commands and/or hover commands may be processed to provide finer and/or coarser granularity of the query results.
    • 公开了用于构建查询结果的时间可视化的一个或多个技术和/或系统。 也就是说,与时间信息(例如时间戳)相关联的查询结果可以用于创建时间分布(例如,包括图像和图像捕获日期,网页和网页创建日期等的查询结果)。 时间分布可以包括随时间的查询结果的分布(例如,可以基于由时间戳指定的日期对查询结果进行排序和/或分组)。 可以使用时间分布来构建查询结果的时间可视化。 例如,可以将查询结果分配给时间可视化内的日期时隙。 时间可视化可以示出可能不能立即视觉呈现的大量查询结果(例如,数千)。 可以处理缩放命令和/或悬停命令以提供查询结果的更精细和/或更粗略的粒度。
    • 5. 发明授权
    • Ranking search results using result repetition
    • 使用结果重复排列搜索结果
    • US09064016B2
    • 2015-06-23
    • US13420591
    • 2012-03-14
    • Milad ShokouhiRyen William WhitePaul Nathan Bennett
    • Milad ShokouhiRyen William WhitePaul Nathan Bennett
    • G06F17/30
    • G06F17/30867
    • Ranking search results using result repetition is described. In an embodiment, a set of results generated by a search engine is ranked or re-ranked based on whether any of the results were included in previous sets of results generated in response to earlier queries by the same user in one or more searching sessions. User behavior data, such as whether a user clicks on a result, skips a result or misses a result, is stored in real-time and the stored data is used in performing the ranking. In various examples, the ranking is performed using a machine-learning algorithm and various parameters, such as whether a result in a current set of results has previously been clicked, skipped or missed in the same session, are generated based on the user behavior data for the current session and input to the machine-learning algorithm.
    • 描述使用结果重复排列搜索结果。 在一个实施例中,基于是否将任何结果包括在响应于同一用户在一个或多个搜索会话中的较早查询而生成的先前的结果集合中来对搜索引擎生成的一组结果进行排名或重新排序。 实时存储用户行为数据,例如用户是否点击结果,跳过结果或丢失结果,并且存储的数据用于执行排名。 在各种示例中,使用机器学习算法执行排名,并且基于用户行为数据生成各种参数,诸如是否先前在同一会话中点击,跳过或丢失了当前结果集中的结果 为当前会话并输入到机器学习算法。
    • 6. 发明授权
    • Temporal visualization of query results
    • 查询结果的时间可视化
    • US08515953B2
    • 2013-08-20
    • US13306111
    • 2011-11-29
    • Kyriakos KarenosFrancesco NiditoMilad ShokouhiIgor Nitto
    • Kyriakos KarenosFrancesco NiditoMilad ShokouhiIgor Nitto
    • G06F17/30
    • G06F17/30696G06F17/30554
    • One or more techniques and/or systems are disclosed for constructing a temporal visualization of query results. That is, query results associated with temporal information, such as timestamps, may be used to create a temporal distribution (e.g., query results comprising images and image capture dates, web pages and web page creation dates, etc.). The temporal distribution may comprise a distribution of the query results over time (e.g., query results may be sorted and/or grouped based upon dates specified by the timestamps). A temporal visualization of the query results may be constructed using the temporal distribution. For example, query results may be assigned to date slots within the temporal visualization. The temporal visualization may illustrate a substantial number of query results (e.g., thousands) that may otherwise not be visually presentable at once. Zoom commands and/or hover commands may be processed to provide finer and/or coarser granularity of the query results.
    • 公开了用于构建查询结果的时间可视化的一个或多个技术和/或系统。 也就是说,与时间信息(例如时间戳)相关联的查询结果可以用于创建时间分布(例如,包括图像和图像捕获日期,网页和网页创建日期等的查询结果)。 时间分布可以包括随时间的查询结果的分布(例如,可以基于由时间戳指定的日期对查询结果进行排序和/或分组)。 可以使用时间分布来构建查询结果的时间可视化。 例如,可以将查询结果分配给时间可视化内的日期时隙。 时间可视化可以示出可能不能立即视觉呈现的大量查询结果(例如,数千)。 可以处理缩放命令和/或悬停命令以提供查询结果的更精细和/或更粗略的粒度。
    • 7. 发明申请
    • Merging Search Results
    • 合并搜索结果
    • US20100306213A1
    • 2010-12-02
    • US12473158
    • 2009-05-27
    • Michael J. TaylorFiliip RadlinskiMilad Shokouhi
    • Michael J. TaylorFiliip RadlinskiMilad Shokouhi
    • G06F17/30
    • G06F17/30867
    • Merging search results is required, for example, where an information retrieval system issues a query to multiple sources and obtains multiple results lists. In an embodiment a search engine at an Enterprise domain sends a query to the Enterprise search engine and also to a public Internet search engine. In embodiments, results lists obtained from different sources are merged using a merging model which is learnt using a machine learning process and updates when click-through data is observed for example. In examples, user information available in the Enterprise domain is used to influence the merging process to improve the relevance of results. In some examples, the user information is used for query modification. In an embodiment a user is able to impersonate a user of a specified group in order to promote particular results.
    • 需要合并搜索结果,例如,信息检索系统向多个源发出查询并获得多个结果列表。 在一个实施例中,企业域的搜索引擎向Enterprise搜索引擎以及公共因特网搜索引擎发送查询。 在实施例中,使用使用机器学习过程学习的合并模型来合并从不同来源获得的结果列表,并且例如在观察到点击数据时进行更新。 在示例中,Enterprise域中可用的用户信息用于影响合并过程以提高结果的相关性。 在一些示例中,用户信息用于查询修改。 在一个实施例中,用户能够模拟指定组的用户以便促进特定结果。
    • 8. 发明授权
    • Merging search results
    • 合并搜索结果
    • US09495460B2
    • 2016-11-15
    • US12473158
    • 2009-05-27
    • Michael J. TaylorFiliip RadlinskiMilad Shokouhi
    • Michael J. TaylorFiliip RadlinskiMilad Shokouhi
    • G06F17/30
    • G06F17/30867
    • Merging search results is required, for example, where an information retrieval system issues a query to multiple sources and obtains multiple results lists. In an embodiment a search engine at an Enterprise domain sends a query to the Enterprise search engine and also to a public Internet search engine. In embodiments, results lists obtained from different sources are merged using a merging model which is learnt using a machine learning process and updates when click-through data is observed for example. In examples, user information available in the Enterprise domain is used to influence the merging process to improve the relevance of results. In some examples, the user information is used for query modification. In an embodiment a user is able to impersonate a user of a specified group in order to promote particular results.
    • 需要合并搜索结果,例如,信息检索系统向多个源发出查询并获得多个结果列表。 在一个实施例中,企业域的搜索引擎向Enterprise搜索引擎以及公共因特网搜索引擎发送查询。 在实施例中,使用使用机器学习过程学习的合并模型来合并从不同来源获得的结果列表,并且例如在观察到点击数据时进行更新。 在示例中,Enterprise域中可用的用户信息用于影响合并过程以提高结果的相关性。 在一些示例中,用户信息用于查询修改。 在一个实施例中,用户能够模拟指定组的用户以便促进特定结果。