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Exploring an opinion network for taste prediction: An empirical study

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  • Blattner, Marcel
  • Zhang, Yi-Cheng
  • Maslov, Sergei

Abstract

We develop a simple statistical method to find affinity relations in a large opinion network which is represented by a very sparse matrix. These relations allow us to predict missing matrix elements. We test our method on the Eachmovie data of thousands of movies and viewers. We found that significant prediction precision can be achieved and it is rather stable. There is an intrinsic limit to further improve the prediction precision by collecting more data, implying perfect prediction can never obtain via statistical means.

Suggested Citation

  • Blattner, Marcel & Zhang, Yi-Cheng & Maslov, Sergei, 2007. "Exploring an opinion network for taste prediction: An empirical study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 753-758.
  • Handle: RePEc:eee:phsmap:v:373:y:2007:i:c:p:753-758
    DOI: 10.1016/j.physa.2006.04.121
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    References listed on IDEAS

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    1. Paul Resnick & Neophytos Iacovou & Mitesh Suchak & Peter Bergstrom & John Riedl, 1994. "GroupLens: An Open Architecture for Collaborative Filtering of Netnews," Working Paper Series 165, MIT Center for Coordination Science.
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    Cited by:

    1. Borrero, Juan D. & Gualda Caballero, Estrella, 2013. "Crawling Big Data in a New Frontier for Socioeconomic Research: Testing with Social Tagging," Journal of Spatial and Organizational Dynamics, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve, vol. 1(1), pages 3-24.
    2. Liu, Ji & Deng, Guishi, 2009. "Link prediction in a user–object network based on time-weighted resource allocation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3643-3650.
    3. Zhong, Li-Xin & Xu, Wen-Juan & Chen, Rong-Da & Zhong, Chen-Yang & Qiu, Tian & Shi, Yong-Dong & Wang, Li-Liang, 2016. "A generalized voter model with time-decaying memory on a multilayer network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 95-105.
    4. Cesário, Marisa & Noronha Vaz, Maria Teresa, 2013. "Localised Assets and Small-Firms’ Technological Capabilities," Spatial and Organizational Dynamics Discussion Papers 2013-7, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.

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