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    • 3. 发明授权
    • Using social-network data for identification and ranking of URLs
    • 使用社交网络数据来识别和排名网址
    • US09292607B2
    • 2016-03-22
    • US13196008
    • 2011-08-02
    • Sasi ParthasarathyJunaid AhmedWalter SunJingfeng LiPaul Alexander DowYajie Siamwalla
    • Sasi ParthasarathyJunaid AhmedWalter SunJingfeng LiPaul Alexander DowYajie Siamwalla
    • G06F17/30
    • G06F17/30867G06F17/30876
    • Methods, systems, and computer-readable media are provided for updating a search index with new uniform resource locators (URLs) and with metadata for new and known URLs. Data associated with communications made by users using a social network is received. The communications include a URL therein that a user has shared, posted, or otherwise communicated to one or more other users using the social network. When the URL is not found in a search index it is identified as a new URL and is added to the search index. A measure of a trending interest, or virality, of the URL is determined from the data. The determined virality is associated with the URL in a search index as metadata. The virality is useable to inform a ranking of the URL against a plurality of other URLs for identification and presentation as a search result in a search engine results page.
    • 提供了方法,系统和计算机可读介质,用于使用新的统一资源定位符(URL)更新搜索索引,并为新的和已知的URL使用元数据。 收到与使用社交网络的用户进行通信相关联的数据。 通信包括其中用户已经使用社交网络共享,发布或以其他方式传送给一个或多个其他用户的URL。 当搜索索引中找不到该URL时,将其标识为新的URL,并将其添加到搜索索引中。 从数据中确定URL的趋势兴趣或病毒的度量。 确定的病毒与搜索索引中的URL作为元数据相关联。 所述病毒可用于在搜索引擎结果页面中将用于识别和呈现的URL的排序通知给多个其他URL作为搜索结果。
    • 6. 发明授权
    • Clustering web pages on a search engine results page
    • 在搜索引擎结果页面上聚集网页
    • US09026519B2
    • 2015-05-05
    • US13205809
    • 2011-08-09
    • Sasi Kumar ParthasarathyJunaid AhmedYatharth SarafWalter Sun
    • Sasi Kumar ParthasarathyJunaid AhmedYatharth SarafWalter Sun
    • G06F17/30
    • G06F17/30598G06F17/30371G06F17/3071G06F17/30864G06F17/30867G06F17/30991G06F17/30997
    • Methods, systems, and media are provided for delivering clustered search results for recent and non-recent events by maintaining the identification (ID) numbers of the respective clustered documents beyond the “fresh” life span of the clustered documents. When clusters are formed according to similar content, an ID number and associated attributes are assigned to each of the clusters. This provides a mechanism to track and retrieve the respective clusters for subsequent delivery of search results. The respective ID numbers of the clusters are maintained, even after the documents are no longer considered “fresh.” These similar-content clusters are further subdivided according to publication date. This provides individual subdivided clusters for similar content events that occurred at different time spans, which are delivered along with individual non-clustered search results in a SERP.
    • 提供了方法,系统和媒体,用于通过维护相应聚集文档的识别(ID)数字超出聚集文档的“新鲜”寿命,来传递最近和非近期事件的群集搜索结果。 当根据类似内容形成簇时,将ID号和相关属性分配给每个簇。 这提供了跟踪和检索相应集群以用于随后传送搜索结果的机制。 即使文件不再被认为是“新鲜”,集群的各自的ID号也被维护。这些类似内容的集群根据出版日期进一步细分。 这提供了用于在不同时间跨度发生的类似内容事件的单独的细分簇,它们与SERP中的各个非聚集搜索结果一起传送。