Theoretical Bounds On and Empirical Robustness of Score Regularization to Different Similarity Measures

F. Diaz
SIGIR 2008
We present theoretical bounds and empirical robustness of score regularization given changes in the similarity measure.

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@inproceedings{diaz:lsr-bounds, year = {2008}, title = {Theoretical bounds on and empirical robustness of score regularization to different similarity measures}, publisher = {ACM}, pages = {809--810}, location = {Singapore, Singapore}, isbn = {978-1-60558-164-4}, doi = {http://doi.acm.org/10.1145/1390334.1390516}, booktitle = {SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval}, author = {Diaz, Fernando}, address = {New York, NY, USA} }