公开(公告)号：US20070294206A1

公开(公告)日：2007-12-20

申请号：US11454592

申请日：2006-06-16

申请人： Stephen R. Korman ,  Elwood A. Anthony ,  Jiong Feng

发明人： Stephen R. Korman ,  Elwood A. Anthony ,  Jiong Feng

IPC分类号： G06F17/30

CPC分类号： G06F3/0676 ,  G06F3/0617 ,  G06F3/0644 ,  Y10S707/99953

摘要： Techniques and technologies are provided for predicting when remaining storage capacity of a memory component will be fully consumed. For example, the remaining storage capacity of the memory component can be determined and a rate of change of the storage capacity can be calculated. Using this information, a prediction or estimate can be made as to when the remaining storage capacity of the memory component will be fully consumed. The prediction or estimate can be based, for example, on a ratio of the remaining storage capacity to the rate of change of the storage capacity.

摘要翻译： 提供了技术和技术来预测存储器组件的剩余存储容量将被完全消耗。 例如，可以确定存储器组件的剩余存储容量，并且可以计算存储容量的变化率。 使用该信息，可以对存储器组件的剩余存储容量何时被完全消耗的预测或估计。 预测或估计可以基于例如剩余存储容量与存储容量的变化率的比率。

公开(公告)号：US07590666B2

公开(公告)日：2009-09-15

申请号：US11454592

申请日：2006-06-16

申请人： Stephen R. Korman ,  Elwood A. Anthony ,  Jiong Feng

发明人： Stephen R. Korman ,  Elwood A. Anthony ,  Jiong Feng

IPC分类号： G06F17/30

CPC分类号： G06F3/0676 ,  G06F3/0617 ,  G06F3/0644 ,  Y10S707/99953

摘要： Techniques and technologies are provided for predicting when remaining storage capacity of a memory component will be fully consumed. For example, the remaining storage capacity of the memory component can be determined and a rate of change of the storage capacity can be calculated. Using this information, a prediction or estimate can be made as to when the remaining storage capacity of the memory component will be fully consumed. The prediction or estimate can be based, for example, on a ratio of the remaining storage capacity to the rate of change of the storage capacity.

摘要翻译： 提供了技术和技术来预测存储器组件的剩余存储容量将被完全消耗。 例如，可以确定存储器组件的剩余存储容量，并且可以计算存储容量的变化率。 使用该信息，可以对存储器组件的剩余存储容量何时被完全消耗的预测或估计。 预测或估计可以基于例如剩余存储容量与存储容量的变化率的比率。

公开(公告)号：US20130191381A1

公开(公告)日：2013-07-25

申请号：US13381069

申请日：2011-09-26

申请人： Huaxing Jin ,  Wei Zheng ,  Peng Huang ,  Xu Yang ,  Feng Lin ,  Jiong Feng ,  Qin Zhang

发明人： Huaxing Jin ,  Wei Zheng ,  Peng Huang ,  Xu Yang ,  Feng Lin ,  Jiong Feng ,  Qin Zhang

IPC分类号： G06F17/30

CPC分类号： G06F17/3053 ,  G06F17/30964

摘要： Ordering search results may include obtaining an exposed log file from a log system, computing a Bayesian posterior probability for relevancy between the log file and a search request, computing an expected value of the relevancy between the log file and the search request based on the Bayesian posterior probability, storing the search request and an identifier of the log file as a key and the expected value of the relevancy between the log file and the search request as a value into a search data structure, in response to receiving a search request submitted by a user, finding expected values of relevancy between the submitted search request and log files that are relevant to the submitted search request from the search data structure, and ordering the found log files in a descending order of the expected values.

摘要翻译： 订购搜索结果可以包括从日志系统获取暴露的日志文件，计算日志文件和搜索请求之间的相关性的贝叶斯后验概率，基于贝叶斯计算日志文件和搜索请求之间的相关性的期望值 后验概率，响应于接收到由所述搜索请求提交的搜索请求，将所述搜索请求和所述日志文件的标识符作为密钥存储，并将所述日志文件和所述搜索请求之间的相关性的期望值作为值存储到搜索数据结构中 一个用户，从搜索数据结构中找到所提交的搜索请求和与提交的搜索请求相关的日志文件之间的相关性的预期值，并按照预期值的降序对找到的日志文件进行排序。

公开(公告)号：US20120330962A1

公开(公告)日：2012-12-27

申请号：US13522142

申请日：2012-05-24

申请人： Peng Huang ,  Feng Lin ,  Shousong Zhang ,  Wei Zheng ,  Jiong Feng ,  Qin Zhang

发明人： Peng Huang ,  Feng Lin ,  Shousong Zhang ,  Wei Zheng ,  Jiong Feng ,  Qin Zhang

IPC分类号： G06F17/30

CPC分类号： G06F16/3322

摘要： The present disclosure discloses a method of providing suggested terms. The method includes: receiving an initial query input from a user, and obtaining corresponding suggested queries based on the initial query; determining at least two categories corresponding to the suggested queries and at least two clickable regions usable for looking up the suggested queries; separately determining a category weight associated with each obtained category in each clickable region for the suggested queries, and a click attribute weight associated with each clickable region; computing a degree of confidence of each category for the suggested queries; and separately determining target categories for the suggested queries based on the degree of confidence of each category for the suggested queries. As such, the user may quickly identify his/her search intention based on the target categories corresponding to the suggested queries, thereby effectively improving the speed of information searching.

摘要翻译： 本公开公开了一种提供建议术语的方法。 该方法包括：从用户接收初始查询输入，并且基于初始查询获得相应的建议查询; 确定对应于所建议查询的至少两个类别和至少两个可用于查找所建议查询的可点击区域; 分别确定与建议查询的每个可点击区域中的每个获得的类别相关联的类别权重，以及与每个可点击区域相关联的点击属性权重; 计算建议查询的每个类别的置信度; 并根据建议查询的每个类别的置信程度分别确定建议查询的目标类别。 这样，用户可以基于与建议的查询对应的目标类别来快速识别他/她的搜索意图，从而有效地提高信息搜索的速度。

公开(公告)号：US08538975B2

公开(公告)日：2013-09-17

申请号：US13381069

申请日：2011-09-26

申请人： Huaxing Jin ,  Wei Zheng ,  Peng Huang ,  Xu Yang ,  Feng Lin ,  Jiong Feng ,  Qin Zhang

发明人： Huaxing Jin ,  Wei Zheng ,  Peng Huang ,  Xu Yang ,  Feng Lin ,  Jiong Feng ,  Qin Zhang

IPC分类号： G06F7/00

CPC分类号： G06F17/3053 ,  G06F17/30964

摘要： Ordering search results may include obtaining an exposed log file from a log system, computing a Bayesian posterior probability for relevancy between the log file and a search request, computing an expected value of the relevancy between the log file and the search request based on the Bayesian posterior probability, storing the search request and an identifier of the log file as a key and the expected value of the relevancy between the log file and the search request as a value into a search data structure, in response to receiving a search request submitted by a user, finding expected values of relevancy between the submitted search request and log files that are relevant to the submitted search request from the search data structure, and ordering the found log files in a descending order of the expected values.

摘要翻译： 订购搜索结果可以包括从日志系统获取暴露的日志文件，计算日志文件和搜索请求之间的相关性的贝叶斯后验概率，基于贝叶斯计算日志文件和搜索请求之间的相关性的期望值 后验概率，响应于接收到由所述搜索请求提交的搜索请求，将所述搜索请求和所述日志文件的标识符作为密钥存储，并将所述日志文件和所述搜索请求之间的相关性的期望值作为值存储到搜索数据结构中 一个用户，从搜索数据结构中找到所提交的搜索请求和与提交的搜索请求相关的日志文件之间的相关性的预期值，并按照预期值的降序对找到的日志文件进行排序。

公开(公告)号：US20080030764A1

公开(公告)日：2008-02-07

申请号：US11460288

申请日：2006-07-27

申请人： Robert Zhu ,  Venkatraman Balasubramaniyan ,  Michael D. Moore ,  Mansoor Mannan ,  Jiong Feng ,  Ying N. Chin

发明人： Robert Zhu ,  Venkatraman Balasubramaniyan ,  Michael D. Moore ,  Mansoor Mannan ,  Jiong Feng ,  Ying N. Chin

IPC分类号： G06F3/12

CPC分类号： G06F9/5038 ,  G06F2209/5017 ,  G06F2209/503

摘要： A parallel aggregation system implemented in a database programming language that utilizes servers that comprise a heterogeneous server farm. The system employs a central job coordinator that coordinates multiple jobs on many disparately sized server machines. The central job coordinator further assigns jobs to the server machines based on the ability of the machine to undertake the work and the complexity and size of the particular job, and monitors the health associated with the machines that comprise the heterogeneous server farm.

摘要翻译： 以数据库编程语言实现的并行聚合系统，其利用构成异构服务器场的服务器。 该系统采用了一个中心工作协调器，可协调许多不同大小的服务器机器上的多个作业。 中央作业协调员根据机器承担工作的能力以及特定作业的复杂程度和大小，进一步将作业分配给服务器机器，并监视与构成异构服务器场的机器相关联的运行状况。