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Max-Sum Diversification, Monotone Submodular Functions and Semi-metric Spaces

arXiv 1511.02402 ↗First posted 7 Nov 2015cs.LGcited by 1

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Abstract (arXiv)

In many applications such as web-based search, document summarization, facility location and other applications, the results are preferable to be both representative and diversified subsets of documents. The goal of this study is to select a good "quality", bounded-size subset of a given set of items, while maintaining their diversity relative to a semi-metric distance function. This problem was first studied by Borodin et alciteborodin, but a crucial property used throughout their proof is the triangle inequality. In this modified proof, we want to relax the triangle inequality and relate the approximation ratio of max-sum diversification problem to the parameter of the relaxed triangle inequality in the normal form of the problem (i.e., a uniform matroid) and also in an arbitrary matroid.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 7 Nov 2015.

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