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    • 4. 发明授权
    • Intelligent link population and recommendation
    • 智能链路人口和推荐
    • US08495484B2
    • 2013-07-23
    • US13196600
    • 2011-08-02
    • Maryam AhmedAl ChakraPrasad Lakshmi ImandiMichael Scott ThomasonTong Yu
    • Maryam AhmedAl ChakraPrasad Lakshmi ImandiMichael Scott ThomasonTong Yu
    • G06F17/20G06F17/21G06F17/22G06F17/23
    • G06F17/30867
    • Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.
    • 计算机设备,系统和方法维护与用户过去的活动和不作为相关联的超链接的数据库。 从用户的当前工作空间,推荐引擎搜索数据库以基于用户指定的上下文和主题来检索超链接。 推荐引擎显示推荐的超链接(候选),并使用户能够按原始来源,活动指标或其他相关性过滤推荐的超链接。 为了形成和维护数据库,上下文分析引擎捕获活动内容链接。 每个活动内容链接具有与用户的活动/不作为相关联的相应超链接。 上下文分析引擎基于活动生成度量,并记录数据库中的相应超链接以及度量。 推荐引擎和上下文分析引擎可以根据用户命令进一步搜索社交媒体或社交网络,以便向用户提供超链接建议。
    • 5. 发明申请
    • INTELLIGENT LINK POPULATION AND RECOMMENDATION
    • 智能链接人口与建议
    • US20130036344A1
    • 2013-02-07
    • US13196600
    • 2011-08-02
    • Maryam AhmedAl ChakraPrasad Lakshmi ImandiMichael Scott ThomasonTong Yu
    • Maryam AhmedAl ChakraPrasad Lakshmi ImandiMichael Scott ThomasonTong Yu
    • G06F17/00
    • G06F17/30867
    • Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.
    • 计算机设备,系统和方法维护与用户过去的活动和不作为相关联的超链接的数据库。 从用户的当前工作空间,推荐引擎搜索数据库以基于用户指定的上下文和主题来检索超链接。 推荐引擎显示推荐的超链接(候选),并使用户能够按原始来源,活动指标或其他相关性过滤推荐的超链接。 为了形成和维护数据库,上下文分析引擎捕获活动内容链接。 每个活动内容链接具有与用户的活动/不作为相关联的相应超链接。 上下文分析引擎基于活动生成度量,并记录数据库中的相应超链接以及度量。 推荐引擎和上下文分析引擎可以根据用户命令进一步搜索社交媒体或社交网络,以便向用户提供超链接建议。