Patent ID: 6993517
Filing Date: 2006-01-31
Classification: G06F,Y10S

Abstract:
1. An information retrieval computer implemented system for retrieving information a user seeks from a plurality of documents, comprising: feature amount extraction means for extracting a feature amount of each of the plurality of documents stored in document storage means; clustering means for classifying the plurality of documents into a plurality of clusters based on the extracted feature amounts so that each cluster includes one document or a plurality of documents having feature amounts similar to each other as an element; cluster term label preparation means for automatically selecting one or more terms, which is or are arranged in order of high term score, as a label of the cluster, for each of the plurality of clusters, the term score being obtained by calculating the number of documents in which a term appears in the cluster, for each of the terms included in documents belonging to the cluster; document retrieval means for retrieving a document satisfying a retrieval condition input by the user among the plurality of documents; and interface means for presenting the retrieved document together with the label of the cluster, to which the retrieved document belongs, and the rest of documents belonging to the cluster, as retrieval results, wherein the feature amount extraction means extract feature vectors as the feature amount, the feature vector is a vector having as an element a pair of a keyword of each of the plurality of documents stored in the document storage means, and a weight of the keyword, and the clustering means classify the plurality of documents into a plurality of clusters so that each cluster includes as an element one document among the plurality of documents, in which a ratio between the minimum value and the maximum value of the sum of the weight of the same keywords in the feature amount is large.