An end-to-end tag-based recommendation system for verbal reasoning questions

doi:10.1145/3173519.3173530

科研成果详情

题名	An end-to-end tag-based recommendation system for verbal reasoning questions
作者	Yue，Z.1; Jiang，Y.1; Luo，Z.1; Pan，D.2
发表日期	2017-09-11
会议录名称	ACM International Conference Proceeding Series
页码	131-135
摘要	Developing a verbal reasoning question recommendation system is an ideal way to help the GRE test takers improve their verbal reasoning abilities by practicing questions more efficiently. As there are a great number of verbal reasoning practice questions and limited practice time for test takers, it is impossible to practice all kinds of questions at the same time. Personalized referral systems should be built based on the characteristics of specific respondents, and forming professional recommendation systems for different questions. Based on the examinee's current practicing accuracy and fallible difficulties, we propose an End-to-end Tag-based Recommendation System (ETRS) for task takers to optimize practice effect. Code of this paper can be found on https://github.com/Oliver-Q/ETRS-for-Verbal-ReasoningQuestions.
关键词	Cold-start problem Nature language processing Personalization service Recommendation system Text tagging User tagging
DOI	10.1145/3173519.3173530
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85052399029
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6912
专题	个人在本单位外知识产出
作者单位	1.Southern University of Science and Technology,China 2.Harbin Institute of Technology,China
推荐引用方式 GB/T 7714	Yue，Z.,Jiang，Y.,Luo，Z.et al. An end-to-end tag-based recommendation system for verbal reasoning questions[C], 2017: 131-135.