Integrating Multiple Resources for Diversified Query Expansion

  • Arbi Bouchoucha
  • Xiaohua Liu
  • Jian-Yun Nie
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)


Diversified query expansion aims to cover different possible intents of a short and ambiguous query. Most standard approaches use a single source of information, e.g., the initial retrieval list or some external resource like ConceptNet. The coverage is thus limited by that of the resource. To alleviate this issue, we propose the use of multiple resources. More specifically, our framework first automatically generates a list of diversified queries for each resource, and then combines the retrieved documents for all the expanded queries following the Maximal Marginal Relevance principal. We evaluate our framework on several TREC data sets, and demonstrate that our framework outperforms the state-of-the-art approaches, suggesting the effectiveness of incorporating different resources for diversified query expansion.


Diversified Query Expansion Resource Integration 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Arbi Bouchoucha
    • 1
  • Xiaohua Liu
    • 1
  • Jian-Yun Nie
    • 1
  1. 1.Dept. of Computer Science and Operations ResearchUniversity of MontrealMontrealCanada

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