计算机应用研究2017，Vol.34Issue(7)：2063-2067,5.DOI:10.3969/j.issn.1001-3695.2017.07.031
一种改进List-wise的科技论文推荐方法研究
Study of improved List-wise method for scientific paper recommendation
摘要
Abstract
In recent years,the number of papers in scientific social network had grown at an explosive rate.It was difficult for users to find papers related to their requirement.And the paper recommendation is one of the key methods to solve this problem.However,most of the existing methods only focus on rating prediction,ignoring the ranking problem between papers.In addition,a lot of social information in scientific social network were not fully considered in the traditional recommendation method.Therefore,this paper proposed an improved List-wise method for scientific paper recommendation.It systematically analyzed The friendship information between users,the titles,abstracts and tags of scientific papers and incorporated theses information into the improved List-wise method.In order to verify the validity of the proposed method,this paper crawled data from a scientific social network,i.e.,CiteULike,to conduct experiments.Experimental results show that the proposed method gets the best recommendation results and performs well in scalability compared to the other traditional recommendation methods.关键词
科技论文/List-wise/社会化信息/推荐方法Key words
scientific paper/list-wise/social information/recommendation method分类
信息技术与安全科学引用本文复制引用
吴燎原,蒋军,王刚..一种改进List-wise的科技论文推荐方法研究[J].计算机应用研究,2017,34(7):2063-2067,5.基金项目
国家自然科学基金资助项目(71101042,71471054,91646111) （71101042,71471054,91646111）
安徽省自然科学基金资助项目(1608085MG150) （1608085MG150）
合肥工业大学应用科技成果培育计划资助项目(JZ2017YYPY0235) （JZ2017YYPY0235）
