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METHOD FOR CONSTRUCTING QUERY INDEX DATABASE, METHOD FOR RECOMMENDING QUERY BY USING THE QUERY INDEX DATABASE

机译:一种构造查询索引数据库的方法,一种使用查询索引数据库推荐查询的方法

摘要

PURPOSE: A method for constructing a query index database, a method for recommending a query by using the query index database are provided to classify a click document based on a query and click log of a user, thereby classifying and indexing a query language by a concern subject. CONSTITUTION: A representative query language and iso-form query language are selected by normalizing query log data(S403). The data with a clicked document and the query language corresponding to a click log data uses one of machine study-based classification among a naive Bayesian model, a SVM(Support Vector Machine) and a neural network and is classified by a relevant subject(S405). The representative query language and iso-form query language are indexed and saved with information about the relevant subject. Query language which frequency is the highest among query language log data having same URL(Uniform Resource Locator) is selected as the representative query language.
机译:目的:提供一种用于构造查询索引数据库的方法,一种用于通过使用查询索引数据库来推荐查询的方法,以基于用户的查询和点击日志对点击文档进行分类,从而对查询语言进行分类和索引。关注主题。构成:通过标准化查询日志数据来选择代表性查询语言和异构查询语言(S403)。具有点击文档的数据和与点击日志数据相对应的查询语言的数据使用朴素贝叶斯模型,SVM(支持向量机)和神经网络中的基于机器学习的分类中的一种,并按相关主题进行分类(S405) )。代表查询语言和异构查询语言被索引并与有关主题的信息一起保存。在具有相同URL(统一资源定位符)的查询语言日志数据中,频率最高的查询语言被选作代表查询语言。

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