Integral based source selection for uncooperative distributed information retrieval environments (original) (raw)

Proceedings of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval, 2008

Abstract

In this paper, a new source selection algorithm for uncooperative distributed information retrieval environments is presented. The algorithm functions by modeling each information source as an integral, using the relevance score and the intra-collection position of its sampled documents in reference to a centralized sample index and selects the collections that cover the largest area in the rank-relevance space. Based

Mike Salampasis hasn't uploaded this paper.

Let Mike know you want this paper to be uploaded.

Ask for this paper to be uploaded.