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    • 52. 发明申请
    • EXPERTISE RANKING USING SOCIAL DISTANCE
    • 专业排名使用社会距离
    • US20100174712A1
    • 2010-07-08
    • US12349518
    • 2009-01-07
    • Boxin LiDmitriy MeyerzonYauhen Shnitko
    • Boxin LiDmitriy MeyerzonYauhen Shnitko
    • G06F7/06G06F17/30
    • G06F16/335
    • Tools and techniques for expertise ranking using social distance are provided. These tools may receive search queries from users, and extract from these search queries record identifiers associated with the users. In addition, the tools may extract query strings from the search queries. In connection with processing these queries, the tools may identify other users associated with a given user, with some of these other users being first-level colleagues of a given user, and some of these other users being second-level colleagues. The tools may identify documents within a search store that are associated with the other users, and may search these documents for any occurrences of the query string. In turn, results of the search may be ranked based on a social distance between the user and the other users, with the social distance indicating whether the other users are first-level or second-level colleagues of the user.
    • 提供了使用社交距离的专业技术排名的工具和技术。 这些工具可以接收来自用户的搜索查询,并从这些搜索查询中提取记录与用户相关联的标识符。 此外,这些工具可能会从搜索查询中提取查询字符串。 关于处理这些查询,工具可以识别与给定用户相关联的其他用户,其中一些其他用户是给定用户的第一级同事,并且这些其他用户中的一些是二级同事。 这些工具可以识别与其他用户相关联的搜索商店内的文档,并且可以搜索这些文档以查找字符串的任何情况。 反过来,可以基于用户和其他用户之间的社交距离对搜索结果进行排名,其中社交距离指示其他用户是否是用户的一级或二级同事。
    • 54. 发明申请
    • NAME SEARCH USING A RANKING FUNCTION
    • 名称使用排名功能搜索
    • US20090319521A1
    • 2009-12-24
    • US12141082
    • 2008-06-18
    • Dirk H. GroeneveldDmitriy MeyerzonDavid MowattJessica A. Alspaugh
    • Dirk H. GroeneveldDmitriy MeyerzonDavid MowattJessica A. Alspaugh
    • G06F17/30
    • G06F17/30657G06F17/30864
    • An approach is described for performing a name search using a name search operation and a ranking operation. The name search operation may take text as input and apply a fuzzy matching operation and a lookup operation to generate a collection of candidate names with respective probability scores. In other cases, speech or handwriting recognition may generate the collection of candidate names and probability scores. The ranking operation may then rank these candidate names using a ranking function. The ranking function may rank the candidate names based on the probability scores associated with the names and at least one other factor. One such factor may reflect whether information provided by a user matches profile information associated with a candidate name under consideration. Another factor may reflect an extent of a nexus between the user and a person associated with the candidate name. Other types of factors can be used.
    • 描述了使用名称搜索操作和排序操作执行姓名搜索的方法。 名称搜索操作可以将文本作为输入并应用模糊匹配操作和查找操作以生成具有相应概率得分的候选名称的集合。 在其他情况下,语音或手写识别可能产生候选名称和概率分数的集合。 然后,排序操作可以使用排序函数对这些候选名称进行排名。 排名函数可以基于与名称和至少一个其他因素相关联的概率分数对候选名称进行排名。 一个这样的因素可以反映用户提供的信息是否匹配与考虑的候选名称相关联的简档信息。 另一个因素可能反映了用户与与候选人名称相关联的人之间的关联程度。 可以使用其他类型的因素。