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公开(公告)号：US20160189218A1
公开(公告)日：2016-06-30
申请号：US14586199
申请日：2014-12-30
Applicant: Yahoo, Inc.
Inventor： Nagaraj Kota
CPC classification number: G06Q30/0256 , G06F16/951 , G06Q30/0275
Abstract: Systems and methods for building a search index for query recommendation and ad matching are disclosed. The system accesses a query-URL graph and extracts a subgraph related to an ad campaign. The subgraph is annotated according to desired criteria. The sub graph is reversed and the reversed annotated subgraph is ranked to find nodes of importance. The nodes of importance are then used to build a preference vector which is used to find a stationary distribution of the sub graph. A plurality of random walks of the sub graph is performed to build a corpus of words. The corpus of words are input into a language model to learn associations, from which the top query terms associated with an ad campaign are found and indexed. The index is then inverted for recommending ads for received query terms.
Abstract translation: 披露了建立查询推荐和广告匹配搜索索引的系统和方法。 系统访问查询网址图，并提取与广告系列相关的子图。 子图根据所需的标准进行注释。 子图被颠倒，反向注释的子图被排列以找到重要的节点。 然后使用重要节点构建偏好向量，该向量用于找到子图的静态分布。 执行子图的多个随机游走以构建语料库。 语言语料库被输入到语言模型中以学习关联，从中找到与索引的与广告活动相关联的顶级查询词语。 然后将索引反转，以推荐收到查询条款的广告。
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公开(公告)号：US20140222560A1
公开(公告)日：2014-08-07
申请号：US13758500
申请日：2013-02-04
Applicant: YAHOO! INC.
Inventor： Nagaraj Kota
IPC: G06Q30/02
CPC classification number: G06Q30/0255
Abstract: Disclosed is a system and method for selecting and serving advertisements in response to requests for photos on a photo-sharing website. In some embodiments, the present disclosure describes a system and method for automatically matching an advertisement with a media file when the media file has been rendered by a user. Aspects of the present disclosure allow for automatic selection and serving of advertisements based on a requested media file and/or user profile information, potentially without any interaction between the user and the advertiser.
Abstract translation: 公开了一种用于响应于在照片共享网站上的照片的请求来选择和服务广告的系统和方法。 在一些实施例中，本公开描述了当媒体文件已被用户呈现时，用于使广告与媒体文件自动匹配的系统和方法。 本公开的方面允许基于所请求的媒体文件和/或用户简档信息自动选择和提供广告，潜在地可能在用户和广告商之间没有任何交互。
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公开(公告)号：US20160335678A1
公开(公告)日：2016-11-17
申请号：US14713811
申请日：2015-05-15
Applicant: Yahoo! Inc.
Inventor： Nagaraj Kota , Srinath Mandalapu , Anthony Thaniserikaran Devassy
IPC: G06Q30/02
CPC classification number: G06Q30/0275 , G06Q30/0277
Abstract: Systems and methods for building an index for matching queries and bidded terms are disclosed. The expansion of the bid-terms includes a collective expansion using graph mining techniques on a subgraph extracted from user actions on a bi-partite graph. The extracted subgraph is specific to an AdGroup (obtained using all the available context) and is personalized. The extracted subgraph can be tuned to various objectives such as head/torso/tail, specific vs generic etc. Multiple relevance measures of candidate query nodes are calculated with reference to multiple source nodes or context, and the final rankings are biased to commercial relevance using personalized random-walks.
Abstract translation: 公开了用于构建用于匹配查询和出价条款的索引的系统和方法。 投标条款的扩展包括使用图形挖掘技术在从
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