广西师范大学学报（自然科学版）Issue(2)：42-48,7.DOI:10.16088/j.issn.1001-6600.2015.02.007
基于查询日志分析的中文网页关键词抽取方法
Chinese Page Keyword Extraction Method Based on Query Log Analysis
摘要
Abstract
The webpage search engine based on the full-text index provides low correlation.To solve this problem,this paper proposes a keyword extraction method for Chinese pages based on query log analysis.The method selects keywords according to users’j udgment of relevance on the page and query words.In order to quantify the relevance j udgment,three indexes,such as residence time per unit length, inverted click rate and rank compensation factor, are proposed of which are then comprehensively weighted.In this paper,these processes,such as query string segmentation,synonym recognition,polysemy disambiguation, keyphrase matching, are specially treated.The experiment results show that the precision rate is high,and the comprehensive performance is better than that of the TF.IDF method and the SVM method.The proposed method can obtain satisfactory effect of the keyword extraction.关键词
查询日志/抽取/关键短语组配/同义词识别/多义词消歧Key words
query log/keyword extraction/keyphrase matching/synonym recognition/polysemy disam-biguation分类
社会科学引用本文复制引用
王晓艳,王珍珍..基于查询日志分析的中文网页关键词抽取方法[J].广西师范大学学报（自然科学版）,2015,(2):42-48,7.基金项目
国家社会科学基金资助项目(14CJL001) （14CJL001）
