Combining pre-retrieval query quality predictors using genetic programming

Author:

Bashir Shariq

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference43 articles.

1. Aslam JA, Pavlu V (2007) Query hardness estimation using Jensen-Shannon divergence among multiple scoring functions. In: Proceedings of the 29th European conference on IR research, ECIR’07, pp 198–209

2. Banerjee S, Pedersen T (2003) Extended gloss overlaps as a measure of semantic relatedness. In: Proceedings of the 18th international joint conference on artificial intelligence, IJCAI’03, pp 805–810

3. Buckley C (2004) Topic prediction based on comparative retrieval rankings. In: Proceedings of the 27th annual international ACM SIGIR conference on research and development in information retrieval, SIGIR ’04, pp 506–507

4. Chen H (1995) Machine learning for information retrieval: neural networks, symbolic learning, and genetic algorithms. J Am Soc Inf Sci Technol 46(3):194–216

5. Collins-Thompson K, Bennett PN (2009) Estimating query performance using class predictions. In: Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval, SIGIR ’09, pp 672–673

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