摘要
近年来,国内不少高校英语专业开设创意写作(creative writing)课程,旨在提高学生的英语写作水平,培养学生的创想和才思。该课程中,学生将利用大量的英文文献,提高英语运用能力。然而,基于教师水平、阅读量和经验的参差不齐,参考文献的推荐不可能贴合所有学生的写作需求。因此,设计一个服务于英语创意写作课程的动态参考书目推荐辅助教学系统。该系统基于内容的推荐算法和基于物品的协同过滤算法进行推荐:分析学生写作样本中词频特性和易读性等写作风格的特征;根据用户行为挖掘文献之间的关联性。测试结果表明,该系统能够很好地满足用户需求,并且快速准确地为用户推荐参考书目。
In recent years, English creative writing courses have been taught in the class of many Chinese universities. This course aims at promoting students English writing ability and encouraging for imagination and inspiration. In this course, students use a large number of English documents to improve their English application ability. However, due to the uneven level of teachers, reading volume and experience, the recommendation of references cannot meet the writing needs of all students. In view of this, we designed an assistant teaching system for the class of English creative writing based on dynamic reference recommendation. Content-based recommendation algorithm and item-based collaborative filtering algorithm were used in the system. We analyzed the characteristics of writing styles such as word frequency and readability in students writing samples, and found the relevance between documents according to user behavior. Test results show that the system can meet the needs of students well and provide fast and precise recommendations.
作者
王梦雪
李俊
贾清源
费腾
Wang Mengxue;Li Jun;Jia Qingyuan;Fei Teng(School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, China)
出处
《计算机应用与软件》
北大核心
2019年第2期98-102,共5页
Computer Applications and Software
基金
湖北省高等学校省级教学研究项目(2017012)
武汉大学教学研究项目(2017JG003)
关键词
文本推荐
在线学习
相似度计算
协同过滤
Text recommendation
Online study Similarity calculation
Collaborative filtering