公开(公告)号：US20130254175A1

公开(公告)日：2013-09-26

申请号：US13318335

申请日：2011-08-04

申请人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

发明人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

IPC分类号： G06F17/30

CPC分类号： G06F17/3053 ,  G06Q30/02 ,  G06Q30/0247 ,  G06Q30/0254 ,  G06Q30/0273 ,  G06Q30/0275 ,  G06Q30/0283

摘要： Techniques for returning estimated value of search keywords of an entire account include, for the entire account, obtaining one or more selected search keywords and their respective forecast periods and parameter settings. An estimated value of a respective search keyword in the respective forecast period is forecasted. Based on stored historical data and parameter settings of the respective search keyword, the estimated value of the respective search keyword is modified to obtain a modified estimated value. The modified estimated value of each search keyword is added up to generate an estimated value of the entire account. The estimated value of the entire account is returned to a client terminal from which the entire account is logged in. The present disclosure modifies the respective search keyword's estimated value so that the estimated value of the entire account satisfies the expected value of the client.

摘要翻译： 返回整个帐户的搜索关键字的估计值的技术包括对于整个帐户获得一个或多个所选择的搜索关键字及其各自的预测期间和参数设置。 预测各个预测期间内的搜索关键词的估计值。 基于相应搜索关键字的存储历史数据和参数设置，修改相应搜索关键字的估计值以获得修改的估计值。 每个搜索关键字的修改后的估计值相加，以生成整个帐户的估计值。 整个帐户的估计值被返回到整个帐户登录的客户终端。本公开修改了相应的搜索关键字的估计值，使得整个帐户的估计值满足客户端的期望值。

公开(公告)号：US20130144822A1

公开(公告)日：2013-06-06

申请号：US13318439

申请日：2011-07-29

申请人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

发明人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

IPC分类号： G06N5/02

CPC分类号： G06N5/02 ,  G06F17/30943 ,  G06Q10/00 ,  G06Q30/00

摘要： The present disclosure introduces a method, an apparatus and memory of predicting a user behavior number of a word for reducing the amount and the complexity of operation, saving the consumption of the equipment, and improving the accuracy and reliability of predictions. In an embodiment, a historical data sequence of the user behavior number of a word is converted from a time domain to a frequency domain. Based on the converted frequency domain, each estimated cycle and its effect rate value of the historical data sequence are ascertained. If the historical data sequence is stable, an average value of user behavior numbers of some historical data points before a prediction point is calculated as a user behavior number of the prediction point. Otherwise, the user behavior number is calculated based on a selected main cycle and a selected singularity.

摘要翻译： 本公开引入了用于预测用户行为号码以减少操作量和复杂度的方法，装置和存储器，节省了设备的消耗，并提高了预测的准确性和可靠性。 在一个实施例中，字的用户行为号码的历史数据序列被从时域转换到频域。 基于转换的频域，确定历史数据序列的每个估计周期及其效应值。 如果历史数据序列稳定，则将预测点之前的一些历史数据点的用户行为号的平均值计算为预测点的用户行为号。 否则，基于所选择的主循环和选择的奇异点来计算用户行为数。

公开(公告)号：US08849738B2

公开(公告)日：2014-09-30

申请号：US13318439

申请日：2011-07-29

申请人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

发明人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

IPC分类号： G06N5/02 ,  G06Q30/00 ,  G06F17/30 ,  G06Q10/00

CPC分类号： G06N5/02 ,  G06F17/30943 ,  G06Q10/00 ,  G06Q30/00

摘要： The present disclosure introduces a method, an apparatus and memory of predicting a user behavior number of a word for reducing the amount and the complexity of operation, saving the consumption of the equipment, and improving the accuracy and reliability of predictions. In an embodiment, a historical data sequence of the user behavior number of a word is converted from a time domain to a frequency domain. Based on the converted frequency domain, each estimated cycle and its effect rate value of the historical data sequence are ascertained. If the historical data sequence is stable, an average value of user behavior numbers of some historical data points before a prediction point is calculated as a user behavior number of the prediction point. Otherwise, the user behavior number is calculated based on a selected main cycle and a selected singularity.

摘要翻译： 本公开引入了用于预测用户行为号码以减少操作量和复杂度的方法，装置和存储器，节省了设备的消耗，并提高了预测的准确性和可靠性。 在一个实施例中，字的用户行为号码的历史数据序列被从时域转换到频域。 基于转换的频域，确定历史数据序列的每个估计周期及其效应值。 如果历史数据序列稳定，则将预测点之前的一些历史数据点的用户行为号的平均值计算为预测点的用户行为号。 否则，基于所选择的主循环和选择的奇异点来计算用户行为数。

公开(公告)号：US08660901B2

公开(公告)日：2014-02-25

申请号：US12930649

申请日：2011-01-11

申请人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

发明人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0256 ,  G06Q30/02 ,  G06Q30/0244

摘要： Providing online advertisements includes selecting, among a plurality of advertising sources provided by a seller, a selected plurality of advertising sources that meet a predefined condition; generating a plurality of keyword sets that correspond to the selected plurality of advertising sources; establishing a programming model according to a set of predefined constraints, wherein the programming model represents match of the selected plurality of advertising sources and the plurality of keyword sets; and determining a substantially optimal match between at least some of the plurality of advertising sources and the plurality of keyword sets by solving the programming model.

摘要翻译： 提供在线广告包括在卖方提供的多个广告源之中选择满足预定条件的所选择的多个广告源; 生成与所选择的多个广告源对应的多个关键字集合; 根据一组预定约束建立编程模型，其中所述编程模型表示所选择的多个广告源和所述多个关键字集合的匹配; 以及通过解决所述编程模型来确定所述多个广告源中的至少一些和所述多个关键词集合之间的基本上最佳匹配。

公开(公告)号：US09449049B2

公开(公告)日：2016-09-20

申请号：US13318335

申请日：2011-08-04

申请人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

发明人： Tao Zhang ,  Jiaqing Guo ,  Ning Guo

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06Q30/02

CPC分类号： G06F17/3053 ,  G06Q30/02 ,  G06Q30/0247 ,  G06Q30/0254 ,  G06Q30/0273 ,  G06Q30/0275 ,  G06Q30/0283

摘要： Techniques for returning estimated value of search keywords of an entire account include, for the entire account, obtaining one or more selected search keywords and their respective forecast periods and parameter settings. An estimated value of a respective search keyword in the respective forecast period is forecasted. Based on stored historical data and parameter settings of the respective search keyword, the estimated value of the respective search keyword is modified to obtain a modified estimated value. The modified estimated value of each search keyword is added up to generate an estimated value of the entire account. The estimated value of the entire account is returned to a client terminal from which the entire account is logged in. The present disclosure modifies the respective search keyword's estimated value so that the estimated value of the entire account satisfies the expected value of the client.

摘要翻译： 返回整个帐户的搜索关键字的估计值的技术包括对于整个帐户获得一个或多个所选择的搜索关键字及其各自的预测期间和参数设置。 预测各个预测期间内的搜索关键词的估计值。 基于相应搜索关键字的存储历史数据和参数设置，修改相应搜索关键字的估计值以获得修改的估计值。 每个搜索关键字的修改后的估计值相加，以生成整个帐户的估计值。 整个帐户的估计值被返回到整个帐户登录的客户终端。本公开修改了相应的搜索关键字的估计值，使得整个帐户的估计值满足客户端的期望值。

公开(公告)号：US20120130804A1

公开(公告)日：2012-05-24

申请号：US13301446

申请日：2011-11-21

申请人： Jiaqing Guo ,  Tao Zhang ,  Ning Guo

发明人： Jiaqing Guo ,  Tao Zhang ,  Ning Guo

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0247

摘要： Prediction of cost and income estimates associated with a bid ranking model is disclosed, including: receiving a search keyword estimate prediction request, wherein the request comprises a search keyword, a bid price associated with the search keyword, and a prediction period; determining an average click through rate associated with the search keyword associated with the prediction period for a ranking position; determining a traffic value associated with the search keyword associated with the prediction period; determining an average cost per click associated with the search keyword associated with the prediction period for the ranking position; determining a number of impressions associated with the search keyword for the ranking position; and determining a cost estimate and an income estimate associated with the search keyword associated with the prediction period.

摘要翻译： 公开了与出价排名模型相关联的成本和收入估计，包括：接收搜索关键字估计预测请求，其中所述请求包括搜索关键字，与搜索关键词相关联的出价价格和预测期间; 确定与与排名位置的预测周期相关联的搜索关键字相关联的平均点击率; 确定与所述预测周期相关联的搜索关键字相关联的业务量; 确定与与所述排名位置的所述预测周期相关联的搜索关键字相关联的平均每次点击费用; 确定与排名位置的搜索关键字相关联的展示次数; 以及确定与与所述预测周期相关联的搜索关键字相关联的成本估计和收入估​​计。

公开(公告)号：US20110231399A1

公开(公告)日：2011-09-22

申请号：US12992357

申请日：2010-10-01

申请人： Tao Zhang ,  Jiaqing Guo

发明人： Tao Zhang ,  Jiaqing Guo

IPC分类号： G06F17/30

CPC分类号： G06K9/6222 ,  G06F16/355 ,  G06F16/951

摘要： The present disclosure discloses a method and system for clustering. The method includes: vectorizing a plurality of readable files to obtain a plurality of file vectors corresponding to the multiple readable files; extracting a total characteristic vector based on the file vectors; and clustering the readable files based on a ranking result of a respective similarity degree between the total characteristic vector and each of the file vectors. The present disclosure also provides a method and system for clustering webpages. An application of the methods or systems described in the present disclosure reduces the number of times of comparison of similarity degrees between file vectors, and further reduces the resulting burden on system resources. This advantageously results in reduced usage of CPU and memory, reduced run time of clustering and improved performance of clustering.

摘要翻译： 本公开公开了一种用于聚类的方法和系统。 该方法包括：对多个可读文件进行矢量化以获得与多个可读文件对应的多个文件向量; 基于文件向量提取总特征向量; 并且基于总特征向量和每个文件向量之间的相应相似度的排名结果对可读文件进行聚类。 本公开还提供了一种用于聚类网页的方法和系统。 本公开中描述的方法或系统的应用减少了文件向量之间的相似度的比较次数，并进一步减少了对系统资源的负担。 这有利地减少了CPU和存储器的使用，减少了集群的运行时间和提高了集群的性能。

公开(公告)号：US20120173344A1

公开(公告)日：2012-07-05

申请号：US13334667

申请日：2011-12-22

申请人： Tao Zhang ,  Jiaqing Guo

发明人： Tao Zhang ,  Jiaqing Guo

IPC分类号： G06Q30/02

CPC分类号： G06Q30/02

摘要： Estimating bid prices for keywords is disclosed, including: receiving a request to estimate a bid price associated with a target keyword for a bidder; determining whether the bidder has previously bid on the target keyword; in the event that the bidder has not previously bid on the target keyword, determining an estimated bid price based at least in part on a plurality of historical bid prices associated with the bidder corresponding to keywords other than the target keyword and a plurality of historical bid prices associated with other bidders corresponding to the target keyword; and in the event that the bidder has previously bid on the target keyword, determining the estimated bid price based at least on revising a current bid price associated with the request; and returning the estimated bid price associated with the target keyword.

摘要翻译： 披露关键字的估价出价，包括：收到与投标人的目标关键字相关的投标价格的请求; 确定投标人是否先前对目标关键字出价; 如果投标人以前没有对目标关键字进行投标，则至少部分地基于与针对关键字以外的关键字相关联的与投标人相关联的多个历史投标价格和多个历史投标来确定估计投标价格 与目标关键字相对应的其他投标人的价格; 并且如果所述投标人已经先前针对所述目标关键字出价，则至少基于修改与所述请求相关联的当前投标价格来确定所述估计投标价格; 并返回与目标关键字相关联的估计出价。

公开(公告)号：US20110218852A1

公开(公告)日：2011-09-08

申请号：US12930649

申请日：2011-01-11

申请人： Tao Zhang ,  Jiaqing Gou ,  Ning Guo

发明人： Tao Zhang ,  Jiaqing Gou ,  Ning Guo

IPC分类号： G06Q30/00

CPC分类号： G06Q30/0256 ,  G06Q30/02 ,  G06Q30/0244

摘要： Providing online advertisements includes selecting, among a plurality of advertising sources provided by a seller, a selected plurality of advertising sources that meet a predefined condition; generating a plurality of keyword sets that correspond to the selected plurality of advertising sources; establishing a programming model according to a set of predefined constraints, wherein the programming model represents match of the selected plurality of advertising sources and the plurality of keyword sets; and determining a substantially optimal match between at least some of the plurality of advertising sources and the plurality of keyword sets by solving the programming model.

摘要翻译： 提供在线广告包括在卖方提供的多个广告源之中选择满足预定条件的所选择的多个广告源; 生成与所选择的多个广告源对应的多个关键字集合; 根据一组预定约束建立编程模型，其中所述编程模型表示所选择的多个广告源和所述多个关键字集合的匹配; 以及通过解决所述编程模型来确定所述多个广告源中的至少一些和所述多个关键词集合之间的基本上最佳匹配。

公开(公告)号：US20170078807A1

公开(公告)日：2017-03-16

申请号：US14854716

申请日：2015-09-15

申请人： Frederic Philippe Denis Mustiere ,  Ivo Merks ,  Tao Zhang

发明人： Frederic Philippe Denis Mustiere ,  Ivo Merks ,  Tao Zhang

IPC分类号： H04R25/00 ,  G10L19/005

CPC分类号： H04R25/554 ,  G10L19/005 ,  H04R25/552

摘要： Embodiments of packet loss concealment in a hearing assistance device are generally described herein. A method for packet loss concealment can include receiving, at a first hearing assistance device, a first encoded packet stream from a second hearing assistance device and a signal frame. The method can include encoding, at the first hearing assistance device, the signal frame and determining, at the first hearing assistance device, that a second encoded packet stream was not received from the second hearing assistance device within a predetermined time. In response to determining that the second encoded packet stream was not received, the method can include decoding, at the first hearing assistance device, the encoded signal frame, and outputting the signal frame and the decoded signal frame.

摘要翻译： 这里一般地描述助听装置中的分组丢失隐藏的实施例。 一种用于分组丢失隐藏的方法可以包括在第一听力辅助装置处接收来自第二助听装置的第一编码分组流和信号帧。 该方法可以包括在第一听力辅助装置处编码信号帧，并且在第一听力辅助装置处确定在预定时间内没有从第二听力辅助装置接收到第二编码分组流。 响应于确定未接收到第二编码分组流，该方法可以包括在第一听力辅助设备处对编码的信号帧进行解码，以及输出信号帧和解码的信号帧。