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1. 发明申请

US20130254175A1 RETURNING ESTIMATED VALUE OF SEARCH KEYWORDS OF ENTIRE ACCOUNT 有权
标题翻译：返回估算全部帐户关键词的价值
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。

2. 发明申请

US20130144822A1 Predicting A User Behavior Number of a Word 有权
标题翻译：预测用户行为数字
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。

3. 发明授权

US09449049B2 Returning estimated value of search keywords of entire account 有权
标题翻译：返回整个帐户的搜索关键字的估计值
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。

4. 发明申请

US20120173344A1 ESTIMATING BID PRICES FOR KEYWORDS 审中-公开
标题翻译：估计关键字的价格
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。

5. 发明申请

US20120130804A1 PREDICTION OF COST AND INCOME ESTIMATES ASSOCIATED WITH A BID RANKING MODEL 审中-公开
标题翻译：与投标排名模型相关的成本和收入估计的预测
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。

6. 发明授权

US08849738B2 Predicting a user behavior number of a word 有权
标题翻译：预测单词的用户行为数
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。

7. 发明授权

US08660901B2 Matching of advertising sources and keyword sets in online commerce platforms 有权
标题翻译：在线商务平台中广告来源和关键字集的匹配
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。

8. 发明申请

US20110231399A1 Clustering Method and System 审中-公开
标题翻译：聚类方法与系统
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。

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