Challenges in Search on Streaming Services: Netflix Case Study

被引：16
作者：
Lamkhede, Sudarshan [1 ]
Das, Sudeep [1 ]
机构：
[1] Netflix Inc, Los Gatos, CA 95032 USA
来源：
PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19) | 2019年
关键词：
search; recommender system; user study; experimentation;
D O I：
10.1145/3331184.3331440
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We discuss salient challenges of building a search experience for a streaming media service such as Netflix. We provide an overview of the role of recommendations within the search context to aid content discovery and support searches for unavailable (out-of-catalog) entities. We also stress the importance of keystroke-level Instant Search experience, and the technical challenges associated with implementing it across different devices and languages for a global audience.
引用
收藏
页码：1371 / 1374
页数：4
相关论文
共 11 条
[1]  
Arapakis I., 2014, P 37 INT ACM SIGIR C
[2]  
Broder A., 2002, SIGIR Forum, V36, P3, DOI 10.1145/792550.792552
[3]  
Cetindil Inci, 2012, P 15 INT WORKSH WEB, P7
[4]  
Cho Hyerim, 2016, J ASSOC INF SCI TECH, V67
[5]  
Jiang Ray, 2019, AAAI ACM C AI ETH SO
[6]  
Mantymaki Matti, 2015, ICIS
[7]  
Provalov Ivan, 2016, GLOBAL LANGUAGES SUP
[8]  
Raimond Yves, 2016, RECOMMENDING WORLD
[9]  
Silverstein C., 1999, SIGIR Forum, V33, P6, DOI 10.1145/331403.331405
[10]  
Singh Gyanit, 2011, P 34 INT ACM SIGIR C
12