TY - GEN
T1 - Connecting sparsely distributed similar bloggers
AU - Agarwal, Nitin
AU - Liu, Huan
AU - Subramanya, Shankara
AU - Salerno, John J.
AU - Yu, Philip S.
PY - 2009
Y1 - 2009
N2 - The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnected from each other. Aggregating them allows for cost-effective personalized services, targeted marketing, and exploration of new business opportunities. As most bloggers have only a small number of adjacent bloggers, the problem of aggregating similar bloggers presents challenges that demand novel algorithms of connecting the non-adjacent due to the fragmented distributions of bloggers. In this work, we define the problem, delineate its challenges, and present an approach that uses innovative ways to employ contextual information and collective wisdom to aggregate similar bloggers. A real-world blog directory is used for experiments. We demonstrate the efficacy of our approach, report findings, and discuss related issues and future work.
AB - The nature of the Blogosphere determines that the majority of bloggers are only connected with a small number of fellow bloggers, and similar bloggers can be largely disconnected from each other. Aggregating them allows for cost-effective personalized services, targeted marketing, and exploration of new business opportunities. As most bloggers have only a small number of adjacent bloggers, the problem of aggregating similar bloggers presents challenges that demand novel algorithms of connecting the non-adjacent due to the fragmented distributions of bloggers. In this work, we define the problem, delineate its challenges, and present an approach that uses innovative ways to employ contextual information and collective wisdom to aggregate similar bloggers. A real-world blog directory is used for experiments. We demonstrate the efficacy of our approach, report findings, and discuss related issues and future work.
UR - http://www.scopus.com/inward/record.url?scp=77951160132&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951160132&partnerID=8YFLogxK
U2 - 10.1109/ICDM.2009.38
DO - 10.1109/ICDM.2009.38
M3 - Conference contribution
AN - SCOPUS:77951160132
SN - 9780769538952
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 11
EP - 20
BT - ICDM 2009 - The 9th IEEE International Conference on Data Mining
T2 - 9th IEEE International Conference on Data Mining, ICDM 2009
Y2 - 6 December 2009 through 9 December 2009
ER -