A Fully Dynamic Algorithm for k-Regret Minimizing Sets
Yanhao Wang,
Yuchen Li,
Raymond Chi-Wing Wong
et al.
Abstract:Selecting a small set of representatives from a large database is important in many applications such as multi-criteria decision making, web search, and recommendation. The k-regret minimizing set (k-RMS) problem was recently proposed for representative tuple discovery. Specifically, for a large database P of tuples with multiple numerical attributes, the k-RMS problem returns a size-r subset Q of P such that, for any possible ranking function, the score of the top-ranked tuple in Q is not much worse than the … Show more
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