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 :
بازگشت