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Flexible pseudo-relevance feedback using optimization tables
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval table of contents
New Orleans, Louisiana, United States
Pages: 396 - 397  
Year of Publication: 2001
ISBN:1-58113-331-6
Authors
Tetsuya Sakai  Univ. of Cambridge, Cambridge, UK and Toshiba Corporate R&D Center, Japan
Stephen E. Robertson  Microsoft research Ltd., Cambridge, UK and City Univ., London, UK
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 30,   Citation Count: 8
Additional Information:

references   cited by   index terms   collaborative colleagues  

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DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/383952.384035
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Robertson, S. E. and Walker, S.: Microsoft Cambridge at TREC-9, TREC-9 Proceedings (2001).
2
Tetsuya Sakai , Masahiro Kajiura , Kazuo Sumita, A first step towards flexible local feedback for ad hoc retrieval, Proceedings of the fifth international workshop on on Information retrieval with Asian languages, p.95-102, September 30-October 01, 2000, Hong Kong, China  [doi>10.1145/355214.355228]
 
3
Sakai, T., Robertson, S. E. and Walker, S.: Flexible Pseudo-Relevance Feedback via Direct Mapping and Categorization of Search Requests, BCS-IRSG ECIR 2001 Proceedings, pp. 3-14 (2001).

CITED BY  8
Tetsuya Sakai , Karen Sparck-Jones, Generic summaries for indexing in information retrieval, Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, p.190-198, September 2001, New Orleans, Louisiana, United States
Bodo Billerbeck , Justin Zobel, When query expansion fails, Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, July 28-August 01, 2003, Toronto, Canada
Bodo Billerbeck , Falk Scholer , Hugh E. Williams , Justin Zobel, Query expansion using associated queries, Proceedings of the twelfth international conference on Information and knowledge management, November 03-08, 2003, New Orleans, LA, USA
Tetsuya Sakai , Stephen E. Robertson, Relative and absolute term selection criteria: a comparative study for English and Japanese IR, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, August 11-15, 2002, Tampere, Finland
Bodo Billerbeck , Justin Zobel, Questioning query expansion: an examination of behaviour and parameters, Proceedings of the fifteenth Australasian database conference, p.69-76, January 01, 2004, Dunedin, New Zealand
Tetsuya Sakai , Toshihiko Manabe , Makoto Koyama, Flexible pseudo-relevance feedback via selective sampling, ACM Transactions on Asian Language Information Processing (TALIP), v.4 n.2, p.111-135, June 2005
Chris Jordan , Carolyn Watters , Qigang Gao, Using controlled query generation to evaluate blind relevance feedback algorithms, Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries, June 11-15, 2006, Chapel Hill, NC, USA
Masaya Murata , Hiroyuki Toda , Yumiko Matsuura , Ryoji Kataoka, Access concentration detection in click logs to improve mobile Web-IR, Information Sciences: an International Journal, v.179 n.12, p.1859-1869, May, 2009

INDEX TERMS

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

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models; Search process; Information filtering


General Terms:
Design, Experimentation, Performance

Collaborative Colleagues:
Tetsuya Sakai: colleagues
Stephen E. Robertson: colleagues

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