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Content and Structure Coverage: Extracting a Diverse Information Subset

Author

Listed:
  • Baojun Ma

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Qiang Wei

    (Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing 100084, China)

  • Guoqing Chen

    (Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing 100084, China)

  • Jin Zhang

    (School of Business, Renmin University of China, Beijing 100872, China)

  • Xunhua Guo

    (Research Center for Contemporary Management, School of Economics and Management, Tsinghua University, Beijing 100084, China)

Abstract

Recent years have witnessed a rapid increase in online data volume and the growing challenge of information overload for web use and applications. Thus, information diversity is of great importance to both information service providers and users of search services. Based on a diversity evaluation measure (namely, information coverage), a heuristic method— FastCov C+S -Select —with corresponding algorithms is designed on the greedy submodular idea. First, we devise the Cov C+S -Select algorithm, which possesses the characteristic of asymptotic optimality, to optimize information coverage using a strategy in the spirit of simulated annealing. To accelerate the efficiency of Cov C+S -Select , its fast approximation (i.e., FastCov C+S -Select ) is then developed through a heuristic strategy to downsize the solution space with the properties of information coverage. Furthermore, ample experiments have been conducted to show the effectiveness, efficiency, and parameter robustness of the proposed method, along with comparative analyses revealing the performance’s advantages over other related methods.

Suggested Citation

  • Baojun Ma & Qiang Wei & Guoqing Chen & Jin Zhang & Xunhua Guo, 2017. "Content and Structure Coverage: Extracting a Diverse Information Subset," INFORMS Journal on Computing, INFORMS, vol. 29(4), pages 660-675, November.
    • Handle: RePEc:inm:orijoc:v:29:y:2017:i:4:p:660-675
    DOI: 10.1287/ijoc.2017.0753
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    References listed on IDEAS

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    Cited by:

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