Recommendation system is such a platform that helps people to easily find out the things they need within a few seconds. It is implemented based on the preferences of similar users or items. In this digital era, the internet has provided us with huge opportunities to use a lot of open resources for our own needs. But there are too many resources on the internet from which finding the precise one is a difficult job. Recommendation system has made this easier for people. Research-paper recommendation system is a system that is developed for people with common research interests using a collaborative filtering recommender system. In this paper, coauthor, keyword, reference, and common citation similarities are calculated using Jaccard Similarity to find the final similarity and to find the top-n similar users. Based on the test of top-n similar users of the target user research paper recommendations have been made. Finally, the accuracy of our recommendation system has been calculated. An impressive result has been found using our proposed system.

翻译：推荐系统是一种平台，能在数秒内帮助用户便捷地发现所需内容。其实现基于相似用户或项目的偏好。在当今数字时代，互联网为我们提供了利用海量开放资源满足自身需求的巨大机遇。然而网络资源过于庞杂，精准定位目标资源仍具挑战。推荐系统有效缓解了这一难题。研究论文推荐系统专为具有共同研究兴趣的群体设计，采用协同过滤推荐机制实现。本文通过Jaccard相似度计算合著者、关键词、参考文献及共同引用的相似性，据此确定综合相似度并筛选出top-n相似用户。基于目标用户的top-n相似用户测试结果，我们生成了研究论文推荐列表。最终通过计算验证了本推荐系统的准确率，实验结果表明所提系统取得了显著成效。