This paper focuses on gathering similarity ratings for use in the construction, optimization and evaluation of melodic similarity algorithms. The approach involves conducting list...
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
In this paper, the performance of the Earth Mover’s Distance (EMD) vs χ2 distance as histogram similarity metrics for image retrieval is evaluated experimentally. Ground truth ...
We present a novel approach to fusing document lists that are retrieved in response to a query. Our approach is based on utilizing information induced from inter-document similarit...
In this paper, we deal with information retrieval approach based on language model paradigm, which has been intensively investigated in recent years. We propose, implement, and ev...