公开(公告)号：US20160170982A1

公开(公告)日：2016-06-16

申请号：US14572579

申请日：2014-12-16

Applicant: Yahoo! Inc.

Inventor： Nemanja Djuric ,  Vladan Radosavljevic ,  Hao Wu ,  Mihajlo Grbovic ,  Narayan Bhamidipati

IPC: G06F17/30 ,  G06N3/04

CPC classification number: G06F16/353 ,  G06F16/3347 ,  G06N3/0454

Abstract: The present teaching relates to joint representation of information. In one example, first and second pieces of information are received. Each of the first and second pieces of information relates to one word in a plurality of documents, one of the documents, or one of user to which the documents are given. A model for estimating feature vectors is obtained. The model includes a first neural network model based on a first order of words within one of the documents and a second neural network model based on a second order in which at least some of the documents are given. Based on the model, a first feature vector of the first piece of information and a second feature vector of the second piece of information are estimated. A similarity between the first and second pieces of information is determined based on a distance between the first and second feature vectors.

Abstract translation: 目前的教学与信息联合表达有关。 在一个示例中，接收第一和第二信息。 第一和第二信息中的每一个涉及多个文档中的一个单词，文档中的一个或给出文档的用户中的一个。 获得用于估计特征向量的模型。 该模型包括基于文档之一内的单词的第一顺序的第一神经网络模型和基于给出至少一些文档的第二次序的第二神经网络模型。 基于该模型，估计第一信息的第一特征向量和第二信息的第二特征向量。 基于第一和第二特征向量之间的距离确定第一和第二信息之间的相似度。

公开(公告)号：US20150379571A1

公开(公告)日：2015-12-31

申请号：US14320048

申请日：2014-06-30

Applicant: YAHOO! Inc.

Inventor： Mihajlo Grbovic ,  Nemanja Djuric ,  Vladan Radosavljevic ,  Narayan Bhamidipati

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0256

Abstract: A system stored in a non-transitory medium executable by processor circuitry is provided for generating retargeting keywords based on distributed query word representations. The system includes one or more system databases storing historical web search data. Search retargeting circuitry receives requests to generate sets of retargeting keywords related to one or more categories of an advertisement campaign and pre-processing circuitry retrieves a set of historical web search data related to the one or more categories of the advertisement campaign. Modeling circuitry further applies one or more computational linguistic models to the retrieved set of historical web search data and generates distributed query word representations from the retrieved set of historical web search data. Keyword generator circuitry generates a list of retargeting keywords related to the one or more categories of the advertisement campaign using the generated distributed query word representations.

Abstract translation: 提供了存储在可由处理器电路执行的非暂时介质中的系统，用于基于分布式查询词表示来生成重定位关键字。 该系统包括存储历史网络搜索数据的一个或多个系统数据库。 搜索重定向电路接收生成与一个或多个类别的广告活动相关的重定向关键词集的请求，并且预处理电路检索与一个或多个类别的广告活动相关的一组历史网络搜索数据。 建模电路还将一个或多个计算语言模型应用于所检索的历史网络搜索数据集合，并从检索到的一组历史网络搜索数据生成分布式查询词表示。 关键字生成器电路使用生成的分布式查询词表示来生成与广告活动的一个或多个类别相关的重定向关键词列表。

公开(公告)号：US20170193037A1

公开(公告)日：2017-07-06

申请号：US14984300

申请日：2015-12-30

Applicant: YAHOO! INC.

Inventor： Varun Bhagwan ,  Blake Carpenter ,  Mihajlo Grbovic ,  Doug Sharp ,  Vladan Radosavljevic ,  Nemanja Djuric

IPC: G06F17/30 ,  G06Q30/02

CPC classification number: G06Q30/0256

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods transform user search keywords into equivalent keyword formats commonly used and/or found within messaging platforms, and compile a data set from such information from which a search for content can be based. The present disclosure, therefore, provides systems and methods that augment users' search terms with terms found in users' mailboxes for purposes of searching for, identifying and communicating content that is relevant to those users.

公开(公告)号：US20160125028A1

公开(公告)日：2016-05-05

申请号：US14533405

申请日：2014-11-05

Applicant: Yahoo! Inc.

Inventor： Fabrizio Silvestri ,  Mihajlo Grbovic ,  Narayan Bhamidipati ,  Vladan Radosavljevic ,  Nemanja Djuric

IPC: G06F17/30

CPC classification number: G06F16/3338

Abstract: Systems and methods for rewriting query terms are disclosed. The system collects queries and query session data and separates the queries into sequences of queries having common sessions. The sequences of queries are then input into a deep learning network to build a multidimensional word vector in which related terms are nearer one another than unrelated terms. An input query is then received and the system matches the input query in the multidimensional word vector and rewrites the query using the nearest neighbors to the term of the input query.

Abstract translation: 披露了用于重写查询术语的系统和方法。 系统收集查询并查询会话数据，并将查询分成具有公共会话的查询序列。 然后将查询序列输入到深度学习网络中以建立多维词向量，其中相关词相对于无关术语彼此更接近。 然后接收输入查询，并且系统与多维字向量中的输入查询匹配，并使用输入查询项中的最近邻居重写查询。

公开(公告)号：US20160104173A1

公开(公告)日：2016-04-14

申请号：US14513935

申请日：2014-10-14

Applicant: Yahoo!, Inc.

Inventor： Doug Sharp ,  Varun Bhagwan ,  Mihajlo Grbovic

IPC: G06Q30/02 ,  H04L29/06 ,  H04L12/58

CPC classification number: G06Q30/0201 ,  H04L51/046 ,  H04L67/42

Abstract: Electronic messages may comprise pieces of economic data, such as an email comprising a first sales receipt and an instant message comprising a second sales receipt. Pieces of economic data may be extracted from electronic messages to obtain a set of extracted economic data. A scale factor may be determined based upon historical economic data (e.g., gross domestic sales data, stock data, etc.). A real-time economic indicator (e.g., a coincident indicator, a leading indicator, etc.) may be determined based upon the set of extracted economic data and the scale factor. The real-time economic indicator may be provided to users, such as through a real-time feedback (e.g., according to a license agreement).

Abstract translation: 电子消息可以包括经济数据，诸如包括第一销售收据的电子邮件和包括第二销售收据的即时消息。 可以从电子消息中提取经济数据，以获得一组提取的经济数据。 可以基于历史经济数据（例如，国内总销售数据，库存数据等）来确定比例因子。 可以基于提取的经济数据和比例因子的集合来确定实时经济指标（例如，重合指标，主要指标等）。 可以例如通过实时反馈（例如，根据许可协议）向用户提供实时经济指标。

公开(公告)号：US20150100438A1

公开(公告)日：2015-04-09

申请号：US14320280

申请日：2014-06-30

Applicant: Yahoo! Inc.

Inventor： Jon Malkin ,  Mihajlo Grbovic ,  Prabhakar Krishnamurthy ,  Karthikeyan Mariappan ,  Hirakendu Das

IPC: G06Q30/02 ,  H04L12/24

CPC classification number: G06Q30/0277

Abstract: Methods and apparatuses for delivering advertisements with electronic content provided over a network and, more specifically, to techniques for selecting among advertisements that are competing for a slot associated with electronic content that is to be delivered over a network, are presented herein. Selecting among advertisements that are competing for a slot is based, at least in part, on an estimated latency for each advertisement. The estimated latency of an advertisement is a prediction of what latency will be experienced if the advertisement is served. The estimated latency may be used as one of the parameters for determining which competing advertisement to place in a slot, where advertisements that are associated with low estimated latencies are favored. For example, if all other parameters are equal, a selection mechanism selects advertisement X over advertisement Y, if the estimated latency for advertisement X is less than the estimated latency of advertisement Y.

Abstract translation: 本文提供了用于通过网络提供的具有电子内容的广告的广告的方法和装置，更具体地，涉及用于在竞争与通过网络传送的电子内容相关联的时隙中竞争的广告之中进行选择的技术。 在竞争时隙的广告中选择至少部分地基于每个广告的估计延迟。 广告的估计等待时间是预测如果广告被服务将会经历什么延迟。 估计的等待时间可以被用作用于确定放置在时隙中的竞争广告的参数之一，其中与低估计延迟相关联的广告是有利的。 例如，如果所有其他参数相等，则如果广告X的估计等待时间小于广告Y的估计等待时间，则选择机制选择广告X上的广告X.