Temporal Analytics on Big Data for Web Advertising

@article{Chandramouli2012TemporalAO,
  title={Temporal Analytics on Big Data for Web Advertising},
  author={Badrish Chandramouli and Jonathan Goldstein and Songyun Duan},
  journal={2012 IEEE 28th International Conference on Data Engineering},
  year={2012},
  pages={90-101}
}
"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… CONTINUE READING
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