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    • 2. 发明授权
    • Combining user feedback
    • 结合用户反馈
    • US08832083B1
    • 2014-09-09
    • US12842345
    • 2010-07-23
    • Zhihui ChenHyung-Jin KimHenele I. AdamsNitin KhandelwalVarun KacholiaDavid P. Stoutamire
    • Zhihui ChenHyung-Jin KimHenele I. AdamsNitin KhandelwalVarun KacholiaDavid P. Stoutamire
    • G06F7/06G06F17/30
    • G06F17/30864
    • Obtaining search results responsive to a query, each search result identifying a respective resource and each resource having a respective rank determined by a primary ranking algorithm. The method includes obtaining primary user feedback data and secondary user feedback data for the resource. The primary and secondary user feedback data representing previous user interactions with the resource when the resource was presented as a search result responsive to the query. The method also includes applying a weight to the secondary user feedback data, the weight being at least partially based on a threshold quantity of the primary user feedback data. The method also includes aggregating the primary user feedback data and the weighted secondary user feedback data and modifying the respective rank of the resource as a search result for the query based at least partially on the aggregated data.
    • 响应于查询获取搜索结果,每个搜索结果标识相应的资源,并且每个资源具有由主排序算法确定的相应等级。 该方法包括获得资源的主用户反馈数据和次用户反馈数据。 当资源作为响应于查询的搜索结果被呈现时,主用户和次用户反馈数据表示先前与资源的交互。 该方法还包括将权重应用于次要用户反馈数据,权重至少部分地基于主用户反馈数据的阈值量。 该方法还包括聚合主要用户反馈数据和加权的次级用户反馈数据,并且至少部分地基于聚合数据来修改作为查询的搜索结果的资源的相应等级。
    • 4. 发明授权
    • Real-time duplicate detection for uploaded videos
    • 上传视频的实时重复检测
    • US08953836B1
    • 2015-02-10
    • US13363116
    • 2012-01-31
    • Gheorghe PostelnicuRichard Iles TuckerMurali Krishna ViswanathanNicola MuscettolaVarun Kacholia
    • Gheorghe PostelnicuRichard Iles TuckerMurali Krishna ViswanathanNicola MuscettolaVarun Kacholia
    • G06K9/00
    • G06K9/00758
    • Systems and methods are provided herein relating to real-time duplicate detection of video content. Fingerprints can be generated for an uploaded video. The fingerprints can be used to match the uploaded video to a set of matching videos. The set of matching videos can be filtered based on the type of match, and the quality of the match. A unique cluster-id can be generated for the uploaded video containing an upload time, and that unique cluster-id can then be modified to associate the uploaded video with a cluster-id of potential duplicates. Cluster-ids can then be used in the context of a search to filter results that have identical cluster-ids. The benefits in using real-time duplicate detection can better maximize user experiences in a video sharing service that contains potential duplicates of the same content.
    • 本文提供了与视频内容的实时重复检测有关的系统和方法。 可以为上传的视频生成指纹。 指纹可用于将上传的视频与一组匹配的视频相匹配。 匹配视频的集合可以根据匹配的类型和匹配的质量进行过滤。 可以为包含上传时间的上传视频生成唯一的cluster-id,然后可以修改唯一的cluster-id,将上传的视频与可能重复的集群ID相关联。 然后可以在搜索的上下文中使用Cluster-id来过滤具有相同集群ids的结果。 使用实时重复检测的好处可以更好地最大限度地最大限度地增加包含相同内容的潜在重复性的视频共享服务中的用户体验。
    • 7. 发明授权
    • Method and apparatus for ranking search results
    • 搜索结果排名的方法和装置
    • US08768932B1
    • 2014-07-01
    • US11803580
    • 2007-05-14
    • Varun KacholiaAshutosh Garg
    • Varun KacholiaAshutosh Garg
    • G06F7/00G06F17/30G06Q30/02
    • G06F17/30864G06F17/30675G06F17/30867G06F17/30882G06Q30/02G06Q30/0627
    • One embodiment of the present invention provides a system for ranking search-results. During operation, the system receives a query, wherein the query includes one or more terms. The system subsequently searches a dataset using the one or more terms to obtain search-results. Next, the system receives an attribute-identifier, which identifies an attribute for the obtained search-results. Then, for each search-result, the system calculates a combined score based on an attribute-value for the identified attribute, and a relevance-score for the search-result. The system then ranks the search-results based on combined scores associated with the search-results. Finally, the system presents the ranked search-results to a user.
    • 本发明的一个实施例提供了一种用于对搜索结果进行排名的系统。 在操作期间,系统接收查询,其中查询包括一个或多个术语。 系统随后使用一个或多个术语搜索数据集以获得搜索结果。 接下来,系统接收属性标识符,其标识所获得的搜索结果的属性。 然后,对于每个搜索结果,系统基于所识别的属性的属性值和搜索结果的相关性得分来计算组合得分。 然后,该系统基于与搜索结果相关联的组合分数对搜索结果进行排序。 最后,系统向用户呈现排名搜索结果。