Using Star Clusters for Filtering

We examine applications of clustering to the filtering task. We use the on-line version of the star algorithm [JPR98, JPR99] as the clustering tool because this algorithm computes, with high precision, naturally occuring topics in a collection and it admits an efficient on-line solution for dynamic corpora. We describe several filtering algorithms and show extensive experimental results using the TREC collection.

• Type: Conference
• Year: 2000
• Where: CIKM
• Authors: Javed A. Aslam, Katya Pelekhov, Daniela Rus
• Keywords: Algorithms, CIKM 2000, Clustering Tool, Efficient On-line Solution, Information Management