智能系统学报2012，Vol.7Issue(5)：398-403,6.DOI:10.3969/j.issn.1673-4785.201203024
面向浏览推荐的网页关键词提取
Study on website keyword extraction for browsing recommendation
摘要
Abstract
It is very challenging when conducting research and it is especially difficult as it pertains to website browsing and recommendation system task for selection of suitable keyword usage. This research study will focus on proper use of website browsing and recommendations on how to select keywords for conducting research. The challenge is to leverage user behavior features, as well as develop an effective keyword s recommendation content page. The implementation of a comprehensive user browsing data, relevant extraction algorithm and algorithm finding methods for new keywords were examined in the research study. The research study also proposed additional, keyword recommendation methods utilizing large-scale and related algorithm approaches for domain-specific keyword extraction technology and a query keyword candidate set were compared. The experiment results confirm both methods demonstrate that they satisfy users' information demand. However, the keyword recommendation methods show a significant performance improvement in effectiveness. The keyword recommendation method has a higher accuracy and better recommendation performance.关键词
浏览推荐/关键词推荐/关键词提取/网页关键词Key words
browsing recommendation/ keyword recommendation/ keyword extraction/ web keywords分类
信息技术与安全科学引用本文复制引用
闫兴龙,刘奕群,马少平,张敏,茹立云..面向浏览推荐的网页关键词提取[J].智能系统学报,2012,7(5):398-403,6.基金项目
国家自然科学基金资助项目(60736044,60903107,61073071) （60736044,60903107,61073071）
高等学校博士学科点专项科研基金资助项目(20090002120005). （20090002120005）
