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    • 2. 发明申请
    • TREND DATA COUNTER
    • 趋势数据计数器
    • US20150220940A1
    • 2015-08-06
    • US14170479
    • 2014-01-31
    • Wal-Mart Stores, Inc.
    • Bhupesh TutejaAmit KhanchiAbhay Maruti Kamble
    • G06Q30/02
    • G06Q30/0201
    • Systems and methods are provided for collecting, sorting, and reporting data sets representing transactions, product reviews, social media product mentions, or the like. According to embodiments of the present disclosure, a trend aggregation system includes a backend data collector, a trend database, and a trend server. Data may be gathered from heterogeneous sources such as transaction records, product reviews posted by consumers on web sites, and product mentions posted on social network platforms. The data may be sorted and stored in a way to provide recall of trend data segments filtered according to selected parameters.
    • 提供系统和方法用于收集,排序和报告表示交易,产品评论,社交媒体产品提及等的数据集。 根据本公开的实施例,趋势聚合系统包括后端数据收集器,趋势数据库和趋势服务器。 数据可以从异构来源收集,例如交易记录,消费者在网站上发布的产品评论以及在社交网络平台上发布的产品提及。 数据可以以一种方式进行排序和存储,以提供根据所选参数过滤的趋势数据段的回调。
    • 3. 发明申请
    • Trend Data Aggregation
    • 趋势数据聚合
    • US20150220938A1
    • 2015-08-06
    • US14169780
    • 2014-01-31
    • Wal-Mart Stores, Inc.
    • Bhupesh TutejaAmit KhanchiAbhay Maruti Kamble
    • G06Q30/02G06F17/30
    • G06Q30/0201
    • Systems and methods are provided for collecting, sorting, and reporting data sets representing transactions, product reviews, social media product mentions, or the like. According to embodiments of the present disclosure, a trend aggregation system includes a backend data collector, a trend database, and a trend server. Data may be gathered from heterogeneous sources such as transaction records, product reviews posted by consumers on web sites, and product mentions posted on social network platforms. The data may be sorted and stored in a way to provide recall of trend data segments filtered according to selected parameters.
    • 提供系统和方法用于收集,排序和报告表示交易,产品评论,社交媒体产品提及等的数据集。 根据本公开的实施例,趋势聚合系统包括后端数据收集器,趋势数据库和趋势服务器。 数据可以从异构来源收集,例如交易记录,消费者在网站上发布的产品评论以及在社交网络平台上发布的产品提及。 数据可以以一种方式进行排序和存储,以提供根据所选参数过滤的趋势数据段的回调。