Difference between revisions of "Liu K and Tang L. CIKM'11"
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== Summary == | == Summary == | ||
− | + | This paper reports experiments on assessing the effectiveness of supervised and unsupervised learning methods in leveraging social data in [http://en.wikipedia.org/wiki/Behavioral_targeting behavioral targeting] problem. The experiments were conducted on a large scale dataset that includes information about users' activities and their social networks from ``a large IT company" (mostly Yahoo) in two and a half months. |
Revision as of 21:35, 26 September 2012
Citation
@inproceedings{Liu:2011:LBT:2063576.2063838,
author = {Liu, Kun and Tang, Lei}, title = {Large-scale behavioral targeting with a social twist}, booktitle = {Proceedings of the 20th ACM international conference on Information and knowledge management}, series = {CIKM '11}, year = {2011}, isbn = {978-1-4503-0717-8}, location = {Glasgow, Scotland, UK}, pages = {1815--1824}, numpages = {10}, url = {http://doi.acm.org/10.1145/2063576.2063838}, doi = {10.1145/2063576.2063838}, acmid = {2063838}, publisher = {ACM}, address = {New York, NY, USA}, keywords = {advertising, behavioral targeting, large-scale data mining, social targeting, social-network analysis}
}
Online Version
Large-Scale Behavioral Targeting with a Social Twist.
Summary
This paper reports experiments on assessing the effectiveness of supervised and unsupervised learning methods in leveraging social data in behavioral targeting problem. The experiments were conducted on a large scale dataset that includes information about users' activities and their social networks from ``a large IT company" (mostly Yahoo) in two and a half months.