I am looking for research works which try to agregtate the results of several search enigines using a classification-based approach. A given document is clssified as relevant or not given the scores attributed by several search engines. Is the choice of SVM classifier justified? What may motivate this choice? Any references? Previous works?
Thanks
Please look at the class
Artificial intelligence
from
MIT
on
YouTube
by
Winston
Maybe this will help:
Cohen, W. W., Schapire, R. E., & Singer, Y. (1998). Learning to order things. In Advances in Neural Information Processing Systems (pp. 451-457).
Herbrich, R., Graepel, T., & Obermayer, K. (1999). Support vector learning for ordinal regression.
Herbrich et al.(2000). Large Margin Rank Boundaries for Ordinal Regression
Additional background information not directly related to SVM:
Burges, C., Shaked, T., Renshaw, E., Lazier, A., Deeds, M., Hamilton, N., & Hullender, G. N. (2005). Learning to rank using gradient descent. In Proceedings of the 22nd International Conference on Machine learning (ICML-05) (pp. 89-96).
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