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Temporal Analytics on Big Data for Web Advertising

8 years 5 months ago
Temporal Analytics on Big Data for Web Advertising
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavioral Targeting (BT) to select ads for users based on prior searches, page views, etc. Previous work on BT has focused on techniques that scale well for offline data using M-R. However, this approach has limitations for BT-style applications that deal with temporal data: (1) many queries are temporal and not easily expressible in M-R, and moreover, the set-oriented nature of M-R frontends such as SCOPE is not suitable for temporal processing; (2) as commercial systems mature, they may need to also directly analyze and react to real-time data feeds since a high turnaround time can result in missed opportunities, but it is difficult for current solutions to naturally also operate over real-time streams. Our contributions are twofold. First, we propose a novel framework called TiMR (pronounced timer), that combine...
Badrish Chandramouli, Jonathan Goldstein, Songyun
Added 28 Sep 2012
Updated 28 Sep 2012
Type Journal
Year 2012
Where ICDE
Authors Badrish Chandramouli, Jonathan Goldstein, Songyun Duan
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