@article{ART002294793},
author={Sangdon Joo and Sukyung Seo and Youngmi Yoon},
title={A Query Randomizing Technique for breaking ‘Filter Bubble’},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2017},
volume={22},
number={12},
pages={117-123},
doi={10.9708/jksci.2017.22.12.117}
TY - JOUR
AU - Sangdon Joo
AU - Sukyung Seo
AU - Youngmi Yoon
TI - A Query Randomizing Technique for breaking ‘Filter Bubble’
JO - Journal of The Korea Society of Computer and Information
PY - 2017
VL - 22
IS - 12
PB - The Korean Society Of Computer And Information
SP - 117
EP - 123
SN - 1598-849X
AB - The personalized search algorithm is a search system that analyzes the user's IP, cookies, log data, and search history to recommend the desired information. As a result, users are isolated in the information frame recommended by the algorithm. This is called 'Filter bubble' phenomenon. Most of the personalized data can be deleted or changed by the user, but data stored in the service provider‘s server is difficult to access. This study suggests a way to neutralize personalization by keeping on sending random query words. This is to confuse the data accumulated in the server while performing search activities with words that are not related to the user. We have analyzed the rank change of the URL while conducting the search activity with 500 random query words once using the personalized account as the experimental group. To prove the effect, we set up a new account and set it as a control. We then searched the same set of queries with these two accounts, stored the URL data, and scored the rank variation. The URLs ranked on the upper page are weighted more than the lower-ranked URLs. At the beginning of the experiment, the difference between the scores of the two accounts was insignificant. As experiments continue, the number of random query words accumulated in the server increases and results show meaningful difference.
KW - Query;Bubble Filter;Randomization;History
DO - 10.9708/jksci.2017.22.12.117
ER -
Sangdon Joo, Sukyung Seo and Youngmi Yoon. (2017). A Query Randomizing Technique for breaking ‘Filter Bubble’. Journal of The Korea Society of Computer and Information, 22(12), 117-123.
Sangdon Joo, Sukyung Seo and Youngmi Yoon. 2017, "A Query Randomizing Technique for breaking ‘Filter Bubble’", Journal of The Korea Society of Computer and Information, vol.22, no.12 pp.117-123. Available from: doi:10.9708/jksci.2017.22.12.117
Sangdon Joo, Sukyung Seo, Youngmi Yoon "A Query Randomizing Technique for breaking ‘Filter Bubble’" Journal of The Korea Society of Computer and Information 22.12 pp.117-123 (2017) : 117.
Sangdon Joo, Sukyung Seo, Youngmi Yoon. A Query Randomizing Technique for breaking ‘Filter Bubble’. 2017; 22(12), 117-123. Available from: doi:10.9708/jksci.2017.22.12.117
Sangdon Joo, Sukyung Seo and Youngmi Yoon. "A Query Randomizing Technique for breaking ‘Filter Bubble’" Journal of The Korea Society of Computer and Information 22, no.12 (2017) : 117-123.doi: 10.9708/jksci.2017.22.12.117
Sangdon Joo; Sukyung Seo; Youngmi Yoon. A Query Randomizing Technique for breaking ‘Filter Bubble’. Journal of The Korea Society of Computer and Information, 22(12), 117-123. doi: 10.9708/jksci.2017.22.12.117
Sangdon Joo; Sukyung Seo; Youngmi Yoon. A Query Randomizing Technique for breaking ‘Filter Bubble’. Journal of The Korea Society of Computer and Information. 2017; 22(12) 117-123. doi: 10.9708/jksci.2017.22.12.117
Sangdon Joo, Sukyung Seo, Youngmi Yoon. A Query Randomizing Technique for breaking ‘Filter Bubble’. 2017; 22(12), 117-123. Available from: doi:10.9708/jksci.2017.22.12.117
Sangdon Joo, Sukyung Seo and Youngmi Yoon. "A Query Randomizing Technique for breaking ‘Filter Bubble’" Journal of The Korea Society of Computer and Information 22, no.12 (2017) : 117-123.doi: 10.9708/jksci.2017.22.12.117
