# λ-diverse nearest neighbors browsing for multidimensional data

@article{Kktun2013diverseNN,
title={λ-diverse nearest neighbors browsing for multidimensional data},
author={Onur K{\"u}ç{\"u}ktunç and Hakan Ferhatosmanoglu},
journal={IEEE Transactions on Knowledge and Data Engineering},
year={2013},
volume={25},
pages={481-493}
}
Traditional search methods try to obtain the most relevant information and rank it according to the degree of similarity to the queries. Diversity in query results is also preferred by a variety of applications since results very similar to each other cannot capture all aspects of the queried topic. In this paper, we focus on the \lambda-diverse k-nearest neighbor search problem on spatial and multidimensional data. Unlike the approach of diversifying query results in a postprocessing step, we… CONTINUE READING
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