DocumentCode
649479
Title
Visual analysis on online display advertising data
Author
Ling Huang
Author_Institution
Genome, Yahoo!, USA
fYear
2013
fDate
13-14 Oct. 2013
Firstpage
123
Lastpage
124
Abstract
In recent years online display advertising has grown at a rapid pace. Genome from Yahoo! is the big data buying solution for online display advertising. The goal of our platform is to identify the best opportunity to display an ad to a user who is most likely to take a desired action. Our system contains websites which are visited by several million users per day. The number of attributes related to user events is also of the order of several thousand. Visual analysis has emerged as a powerful technique to facilitate demonstrating data, filtering extreme cases and outliers, exploiting data details, and identifying data analysis tasks. With respect to large-scale online data, the paper presents some use cases on visual analysis at Genome from Yahoo!
Keywords
Web sites; advertising data processing; data analysis; data visualisation; Genome from Yahoo!; Websites; ad display; big data buying solution; data analysis; data details; extreme case filtering; large-scale online data; online display advertising data; outlier filtering; visual analysis; High-Dimensional data; illustrative visualization; statistical graphics; visualization system and toolkit design;
fLanguage
English
Publisher
ieee
Conference_Titel
Large-Scale Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on
Conference_Location
Atlanta, GA
Type
conf
DOI
10.1109/LDAV.2013.6675170
Filename
6675170
Link To Document