期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2018
卷号：7
期号：6
页码：295-299
出版社：International Journal of Computer and Information Technology
摘要：ZAPR transcends the data sparsity challenge,
leveraging audio fingerprints captured from user’s mobile device.
Zapr with its partnership with mobile app publishers has a
bundled app which boasts a user base of 50 million. We at Zapr,
sample 10 million users on a daily basis. Sampling involves
observing user’s TV watching behavior using mobile devices. This
task can be an acutely battery consuming task. To tackle this issue,
we need to profile users based on their preferences, and then
sample them efficiently; this involves old users as well as new
users.
关键词：component; user tv profiling; big data; distributed
computing; tv;domain; recommender;system
