: We describe the design and analysis of timeline visualizations for displaying the results of queries on an index of personal content. The visualization was built on top of a pers...
Meredith Ringel, Edward Cutrell, Susan T. Dumais, ...
While current search engines serve known-item search such as homepage finding very well, they generally cannot support exploratory search effectively. In exploratory search, user...
Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang ...
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...