Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention

doi:10.1145/3543873.3584628

	Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention
	Yang, Xiaoyan 1; Wang, Dong 1; Hu, Binbin 1; Yang, Dan 1; Shen, Yue 1; Gu, Jinjie 1; Zhang, Zhiqiang 1; Lyu, Shiwei 1; Zhang, Haipeng2 ; Zhang, Guannan 1
	2023-04-30
会议录名称	ACM WEB CONFERENCE 2023 - COMPANION OF THE WORLD WIDE WEB CONFERENCE, WWW 2023
页码	361-365
发表状态	正式接收
DOI	10.1145/3543873.3584628
摘要	When a customer sees a movie recommendation, she may buy the ticket right away, which is the immediate feedback that helps improve the recommender system. Alternatively, she may choose to come back later and this long-term feedback is also modeled to promote user retention. However, the long-term feedback comes with non-trivial challenges in understanding user retention: the complicated correlation between current demands and follow-up demands, coupled with the periodicity of services. For instance, before the movie, the customer buys popcorn through the App, which temporally correlates with the initial movie recommendation. Days later, she checks the App for new movies, as a weekly routine. To address this complexity in a more fine-grained revisit modeling, we propose Time Aware Service Sequential Recommendation (TASSR) for user retention, which is equipped with a multi-task design and an In-category TimeSeqBlock module. Large-scale online and offline experiments demonstrate its significant advantages over competitive baselines. © 2023 ACM.
会议录编者/会议主办者	ACM SIGWEB ; Amazon Science ; Baidu ; et al. ; Megagon Labs ; Zhipu AI
关键词	Motion pictures User profile Current demands Fine grained Follow up Immediate feedbacks Movie recommendations Multi tasks Neural-networks Non-trivial Sequential recommendation User retention
会议名称	2023 World Wide Web Conference, WWW 2023
会议地点	Austin, TX, United states
会议日期	April 30, 2023 - May 4, 2023
收录类别	EI
语种	英语
出版者	Association for Computing Machinery, Inc
EI入藏号	20232114117792
EI主题词	Recommender systems
EI分类号	723.5 Computer Applications
原始文献类型	Conference article (CA)
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/305087
专题	信息科学与技术学院_PI研究组_张海鹏组
通讯作者	Zhang, Haipeng
作者单位	1.Ant Group, China; 2.ShanghaiTech University, China
通讯作者单位	上海科技大学
推荐引用方式 GB/T 7714	Yang, Xiaoyan,Wang, Dong,Hu, Binbin,et al. Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention[C]//ACM SIGWEB, Amazon Science, Baidu, et al., Megagon Labs, Zhipu AI:Association for Computing Machinery, Inc,2023:361-365.