Ranking learning on the web by integrating network-based features

Yingzi Jin, Yutaka Matsuo, Mitsuru Ishizuka

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

Abstract

Many efforts are undertaken by people and companies to improve their popularity, growth, and power, the outcomes of which are all expressed as rankings (designated as target rankings). Are these rankings merely the results of its elements' own attributes? In the theory of social network analysis (SNA), the performance and power of actors are usually interpreted as relations and the relational structures they embedded. In this study, we propose an algorithm to generate and integrate network-based features systematically from a given social network that mined from the Web to learn a model for explaining target rankings. Experimental results for learning to rank researchers' productivity based on social networks confirm the effectiveness of our models. This paper specifically examines the application of a social network that provides an example of advanced utilization of social networks mined from the Web.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
Pages387-392
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 - Athens
Duration: 2009 Jul 202009 Jul 22

Other

Other2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009
CityAthens
Period09/7/2009/7/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Social Sciences(all)

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  • Cite this

    Jin, Y., Matsuo, Y., & Ishizuka, M. (2009). Ranking learning on the web by integrating network-based features. In Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2009 (pp. 387-392) https://doi.org/10.1109/ASONAM.2009.39