— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Most information retrieval (IR) interfaces are designed for a single user working with a dedicated interface. We present a system in which the IR interface has been fully integrat...
Alan F. Blackwell, Mark Stringer, Eleanor F. Toye,...
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
With the emergence of applications that require content-based similarity retrieval, techniques to support such a retrieval paradigm over database systems have emerged as a critica...
Michael Ortega-Binderberger, Kaushik Chakrabarti, ...