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Social Choice For Data Fusion

Author

Listed:
  • SHANFENG ZHU

    (Proteome Informatics Donation Laboratory (SGJ Japan), Bioinformatics Center, Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611-0011, Japan)

  • QIZHI FANG

    (Department of Applied Mathematics, Ocean University of China, Qingdao 266071, Shandong, P. R. China)

  • WEIMIN ZHENG

    (Department of Computer Science and Technology, Tsinghua University, Peking, P. R. China)

Abstract

Social choice theory is the study of decision theory on how to aggregate separate preferences into group's rational preference. It has wide applications, especially on the design of voting rules, and brings far-reaching influence on the development of modern political science and welfare economics. With the advent of the information age, social choice theory finds its up-to-date application on designing effective Metasearch engines. Metasearch engines provide effective searching by combining the results of multiple source search engines that make use of diverse models and techniques. In this work, we analyze social choice algorithms in a graph-theoretic approach. In addition to classical social choice algorithms, such as Borda and Condorcet, we study one special type of social choice algorithms, elimination voting, to tackle Metasearch problem. Some new algorithms are proposed and examined in the fusion experiment on TREC data. It shows that these elimination voting algorithms achieve satisfied performance when compared with Borda algorithm.

Suggested Citation

  • Shanfeng Zhu & Qizhi Fang & Weimin Zheng, 2004. "Social Choice For Data Fusion," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 619-631.
    • Handle: RePEc:wsi:ijitdm:v:03:y:2004:i:04:n:s0219622004001288
    DOI: 10.1142/S0219622004001288
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    References listed on IDEAS

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    2. Truchon, Michel, 1998. "An Extension of the Concordet Criterion and Kemeny Orders," Cahiers de recherche 9813, Université Laval - Département d'économique.
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