Negative query generation: bridging the gap between query likelihood retrieval models and relevance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s10791-015-9257-z.pdf
Reference57 articles.
1. Aly, R., Demeester, T., & Robertson, S. E. (2014). Probabilistic models in ir and their relationships. Information Retrieval, 17(2), 177–201.
2. Balog, K., Azzopardi, L., & de Rijke, M. (2006). Formal models for expert finding in enterprise corpora. In Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR ’06 (pp. 43–50). ACM: New York, NY
3. Bendersky, M., & Croft, W. B. (2008). Discovering key concepts in verbose queries. In Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR ’08 (pp. 491–498). ACM: New York, NY.
4. Berger, A., & Lafferty, J. (1999). Information retrieval as statistical translation. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, SIGIR ’99 (pp. 222–229). ACM: New York, NY.
5. Collins-Thompson, K., & Callan, J. (2007). Estimation and use of uncertainty in pseudo-relevance feedback. In Proceedings of the 30th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR ’07 (pp. 303–310). ACM: New York, NY.
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