计算机与数字工程2017，Vol.45Issue(2)：221-225,5.DOI:10.3969/j.issn.1672-9722.2017.02.006
学术社交平台论文推荐方法
Paper Recommendation Method Based on Scholar Social Platform
摘要
Abstract
According to the defects that researchers search academic papers.This paper proposed a similar paper recommendation method in scholar social platform that includes several popular search engine, and explainedthe framework of recommendation method and detailed design of the system.This recommendation method executes word-segmentation with ANSJ, calculate the TF-IDF of lemma and extract paper key words in initialization.Next, read the segmentation result to get the word-vectors by Word2Vec, calculate its similarity with querypaperfrom users according to cosine similarity formula.And further, the paper recommendation list will be generated.In the end, the efficacy will be proof by an application instance and quantitative index analysison SCHOLAT paper dataset.关键词
学术社交平台/论文检索/相似论文/推荐方法Key words
academic social network/paper seeking/similar paper/recommendation method分类
信息技术与安全科学引用本文复制引用
汤志康,李春英,汤庸,黄泳航,蔡奕彬..学术社交平台论文推荐方法[J].计算机与数字工程,2017,45(2):221-225,5.基金项目
国家自然科学基金(编号:61272067,61370229) （编号:61272067,61370229）
广东省自然基金团队研究项目(编号:S2012030006242) （编号:S2012030006242）
广东省自然科学基金-博士科研启动项目(编号:2014A030310238) （编号:2014A030310238）
广东省科技计划项目(编号:2015B010109003)资助. （编号:2015B010109003）
