Connecting sparsely distributed similar bloggers

Nitin Agarwal, Huan Liu, Shankara Subramanya, John J. Salerno, Philip S. Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationICDM 2009 - The 9th IEEE International Conference on Data Mining
Pages11-20
Number of pages10
DOIs
StatePublished - Dec 1 2009
Event9th IEEE International Conference on Data Mining, ICDM 2009 - Miami, FL, United States
Duration: Dec 6 2009Dec 9 2009

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other9th IEEE International Conference on Data Mining, ICDM 2009
CountryUnited States
CityMiami, FL
Period12/6/0912/9/09

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Agarwal, N., Liu, H., Subramanya, S., Salerno, J. J., & Yu, P. S. (2009). Connecting sparsely distributed similar bloggers. In ICDM 2009 - The 9th IEEE International Conference on Data Mining (pp. 11-20). [5360226] (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDM.2009.38