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：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。