题名 | Censorious Young: Knowledge Discovery from High-throughput Movie Rating Data with LME4 |
作者 | |
发表日期 | 2019-05-10 |
会议名称 | 4th IEEE International Conference on Big Data Analytics (ICBDA) |
会议录名称 | 2019 4th IEEE International Conference on Big Data Analytics, ICBDA 2019
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页码 | 32-36 |
会议日期 | MAR 15-18, 2019 |
会议地点 | Suzhou |
会议举办国 | PEOPLES R CHINA |
摘要 | Quantitative analysis of high throughput movie rating data provides supports for one general social behavior: the young are usually more censorious than senior people when rating/evaluating the same thing. Millions of movie rating data with users' categorical age information are analyzed by the linear mixed model with the lme4 R package. When the age factor is viewed as fixed effects, the rating scores for movies are positively related to age. In general the young people are tends to give lower score than senior people. Such a social behavior phenomenon should be carefully examined in a recommendation system and in data collection. |
关键词 | Knowledge discovery in databases(KDD) linear-mixed effects model(LMM) lme4 software recommender system (RS) |
DOI | 10.1109/ICBDA.2019.8713193 |
URL | 查看来源 |
收录类别 | CPCI-S |
语种 | 英语English |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science ; Information Systems ; Computer Science ; Software EngineeringComputer Science, Theory & Methods |
WOS记录号 | WOS:000469958800007 |
Scopus入藏号 | 2-s2.0-85066604329 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/11505 |
专题 | 个人在本单位外知识产出 |
作者单位 | Department of Mathematics,Xi'An Jiaotong-Liverpool University,China |
推荐引用方式 GB/T 7714 | Chen, Zhiyi,Zhu, Shengxin,Niu, Qianget al. Censorious Young: Knowledge Discovery from High-throughput Movie Rating Data with LME4[C], 2019: 32-36. |
条目包含的文件 | 条目无相关文件。 |
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