Integrating clusters created offline with query-specific clusters for document retrieval

ABSTRACT

Previous work on cluster-based document retrieval has used either static document clusters that are created offline, or query-specific (dynamic) document clusters that are created from top-retrieved documents. We present the potential merit of integrating these two types of clusters.

REFERENCES

• 1: N. Jardine and C. J. van Rijsbergen. The use of hierarchic clustering in information retrieval. Information Storage and Retrieval, 7(5):217--240, 1971.
• 2: Oren Kurland , Lillian Lee, Inter-document similarities, language models, and ad hoc information retrieval, Cornell University, Ithaca, NY, 2006
• 3: Oren Kurland , Lillian Lee, Corpus structure, language models, and ad hoc information retrieval, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom [doi>10.1145/1008992.1009027]
• 4: Xiaoyong Liu , W. Bruce Croft, Cluster-based retrieval using language models, Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, July 25-29, 2004, Sheffield, United Kingdom [doi>10.1145/1008992.1009026]
• 5: Mandar Mitra , Amit Singhal , Chris Buckley, Improving automatic query expansion, Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval, p.206-214, August 24-28, 1998, Melbourne, Australia [doi>10.1145/290941.290995]
• 6: P. Willett. Query specific automatic document classification. International Forum on Information and Documentation, 10(2):28--32, 1985.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

General Terms:
Algorithms, Experimentation

Keywords:
cluster-based retrieval, re-ranking