基于语义兴趣地图的科技文献个性化推送

The Personalized Recommendation of Academic Papers Based on Semantic Interest Map

为文献的引用关系赋予语义,通过用户对某篇文献的兴趣,发掘用户对这篇文献所属概念领域的兴趣,实现从引文网络到概念知识网络研究的升级,从而同时从内容、用户、情景的角度进行文献个性化推送。通过构建科技文献领域词典标注文献语义,从内容角度进行推送;构建语义兴趣地图关注用户兴趣,从用户协同角度进行推送;结合文献发表时长、来源等情景信息计算推荐指数,从情景角度进行推送。

This paper first studies giving the semantic meaning to the citation relationship of the literature.Through the user’s interest in a certain document,exploring the user’s interest in the concept domain,and upgrading the research on the citation network to the concept knowledge network.Then carrying out personalized scientific literature recommendation from the perspective of content,user and situation at the same time.Through construction scientific literature domain dictionary,annotate the semantic of literature,so as to recommendation from the perspective of content.Through building semantic interest map to focus on user interest,so as to recommendation from the perspective of user collaboration.Through calculating recommendation index based on the time of literature publication,literature source and other situational information,so as to recommendation from the perspective of circumstances.