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发表时间： 2022-10-09

发表刊物： 北京大学学报 自然科学版

所属单位： 电子信息与电气工程学部

卷号： 55

期号： 1

页面范围： 65-74

ISSN号： 0479-8023

摘要： Integrating with learning to rank methods, the authors propose a movie ranking prediction model by mining and analyzing the data from movie media websites, which includes extracting and expanding features related to ranking prediction as well as dividing and aligning ranking labels etc. Experiment results show that the proposed model effectively improves the performance of the movie ranking prediction task, which can benefit the cinemas to arrange the number of screenings properly. The model can also provide high quality recommendations to movies for the fans. ? 2019 Peking University.

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