Re-ranking model based on document clusters

@article{Lee2001RerankingMB,
  title={Re-ranking model based on document clusters},
  author={Kyung-Soon Lee and Young-Chan Park and Key-Sun Choi},
  journal={Inf. Process. Manage.},
  year={2001},
  volume={37},
  pages={1-14}
}
In this paper, we describe a model of information retrieval system that is based on a document reranking method using document clusters. In the ®rst step, we retrieve documents based on the inverted®le method. Next, we analyze the retrieved documents using document clusters, and re-rank them. In this step, we use static clusters and dynamic cluster view. Consequently, we can produce clusters that are tailored to characteristics of the query. We focus on the merits of the inverted-®le method and… CONTINUE READING
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