Title :
Viewers´ Side Analysis of Social Interests
Author :
Mitamura, Takeshi ; Yoshida, Kenta
Author_Institution :
Japan Registry Services Co., Ltd., Univ. of Tsukuba, Tokyo, Japan
Abstract :
This paper proposes a method for analyzing social interests. The most important characteristic of the proposed method is that its analysis is not disturbed by stealth marketing. Since conventional methods analyze social interests using posters´ behavior, stealth marketers can mislead conventional methods by posting unreliable information. To solve this problem, the proposed method analyzes viewers´ behavior. DNS query logs are the information source used to analyze viewers´ behavior. By counting the number of viewers for each website, the proposed method tries to find current issues that attract social interests. The second characteristic of the proposed method is the use of cardinality. Cardinality is the number of unique viewers for each WWW page. Since the DNS caching mechanism hides the real access frequency of WWW pages, the proposed method uses cardinality to count the number of unique viewers. To show the usefulness of the proposed method, we have analyzed how Japanese people reacted on the eco-point system and the switchover to the digital TV broadcasts. The ability to analyze the relationship between the social interests and their changes is the third characteristic of the proposed method and is revealed by the experiments which use a three-year long country level DNS query log.
Keywords :
Internet; Web sites; cache storage; marketing; query processing; social aspects of automation; DNS caching mechanism; Japanese people; WWW page; WWW pages; Web sites; cardinality; digital TV broadcasts; eco-point system; information sources; poster behavior; social interest analysis; stealth marketers; stealth marketing; three-year long country level DNS query log; viewer side analysis; Digital TV; Government; IP networks; Internet; Predictive models; Servers; Switches; Cardinality; DNS; Social Interest; poster; viewer;
Conference_Titel :
Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4673-5164-5
DOI :
10.1109/ICDMW.2012.28