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    • 7. 发明申请
    • PRIVACY-SENSITIVE METHODS, SYSTEMS, AND MEDIA FOR TARGETING ONLINE ADVERTISEMENTS USING BRAND AFFINITY MODELING
    • 使用品牌建模建立在线广告的隐私保护方法,系统和媒体
    • US20100205057A1
    • 2010-08-12
    • US12700728
    • 2010-02-05
    • Rodney HookFoster John ProvostBrian MayBrian Dalessandro
    • Rodney HookFoster John ProvostBrian MayBrian Dalessandro
    • G06Q30/00G06Q99/00G06Q50/00
    • G06Q30/02G06Q30/0254
    • Privacy-sensitive methods, systems, and media for targeting online advertisements using brand affinity modeling are provided. In accordance with some embodiments, a method for constructing brand audiences for targeting advertisements is provided, the method comprising: collecting visitation data relating to user-generated micro-content from a plurality of browsers; extracting a quasi-social network from the collected visitation data, wherein the quasi-social network comprises a plurality of links that are induced between the plurality of browsers visiting the user-generated micro-content; selecting seed nodes from the plurality of browsers, wherein the selected seed nodes have performed a brand action relating to the user-generated micro-content that is indicative of brand affinity; determining candidate nodes from the plurality of browsers based at least in part on a distance from the seed nodes in the quasi-social network; calculating a brand proximity score for each of the candidate nodes, wherein the brand proximity score includes one or more brand proximity measures and wherein the brand proximity score is an aggregated distance measurement between the candidate nodes and the seed nodes; generating a ranking of the candidate nodes based on the brand proximity score; and selecting a brand audience for serving an advertisement based on the generated ranking.
    • 提供了使用品牌亲和力建模来定位在线广告的隐私敏感方法,系统和媒体。 根据一些实施例,提供了一种用于构建用于定向广告的品牌观众的方法,所述方法包括:从多个浏览器收集与用户生成的微内容有关的访问数据; 从所收集的访问数据中提取准社交网络,其中准社交网络包括在访问用户生成的微内容的多个浏览器之间引起的多个链接; 从所述多个浏览器中选择种子节点,其中所选择的种子节点已经执行了与所述用户生成的指示品牌相关性的微内容相关的品牌动作; 至少部分地基于与所述准社交网络中的种子节点的距离来从所述多个浏览器确定候选节点; 计算每个候选节点的品牌接近度分数,其中所述品牌接近度分数包括一个或多个品牌接近度量度,并且其中所述品牌接近度分数是候选节点和种子节点之间的聚合距离测量; 基于品牌接近度分数生成候选节点的排名; 以及基于所生成的排名来选择用于服务广告的品牌受众。