Top-k diversity queries over objects embedded in a low-dimensional vector space aim to retrieve the best k objects that are both relevant to given user's ...
This paper investigates diversity queries over objects embedded in a low-dimensional vector space. An interesting case is provided by spatial Web objects, ...
PDF | This paper investigates diversity queries over objects embedded in a low-dimensional vector space. An interesting case is provided by spatial Web.
Finally, we propose top-kbounded diversification algorithm. The algorithm ensures that the results of the second query with similarity and difference.
[PDF] Top-k diversity queries over bounded regions | Semantic Scholar
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This article presents a technique for addressing top-k diversity queries over objects embedded in a low-dimensional vector space that does not require ...
Based on such upper bound, we propose an efficient framework for top-k structural diversity search. To further speed up the structural diversity evaluation in.
[PDF] Diversification and fairness in top-k ranking algorithms
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Aug 31, 2023 · SPP [38] is a bounded diversification algorithm that produces same result as MMR while minimizing the number of accessed records. In [29], ...
Finally, we propose top-k bounded diversification algorithm. The algorithm ensures that the results of the second query with similarity and difference.
Aug 25, 2023 · We present a procedure for extracting bounded sets of plans from pre-generated search trees in best-first order, and a metric for evaluating ...
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