초록 ▼

An internet information agent accepts a reference document, performs an analysis upon it in accordance with metrics defined by its analysis algorithm and obtains respective lists (word, character-level n-gram, word-level n-gram), derives weights corresponding to the metrics, applies the metrics to a

An internet information agent accepts a reference document, performs an analysis upon it in accordance with metrics defined by its analysis algorithm and obtains respective lists (word, character-level n-gram, word-level n-gram), derives weights corresponding to the metrics, applies the metrics to a candidate document and obtains respective returned values, applies the weights to the returned values and sums the results to obtain a Document Dissimilarity (DD) value. This DD is compared with a Dissimilarity Threshold (DT) and the candidate document is stored if the DD is less than the DT. A user can apply relevance values to the search results and the agent modifies the weights accordingly. The agent can be used to improve a language model for use in speech recognition applications and the like.

대표청구항 ▼

[ What is claimed is:] [1.] A method of information retrieval comprising:(a) receiving from a user, data identifying a stored reference corpus;(b) retrieving the identified reference corpus from storage;(c) generating initial values of respective weights corresponding to a plurality of analysis algo

[ What is claimed is:] [1.] A method of information retrieval comprising:(a) receiving from a user, data identifying a stored reference corpus;(b) retrieving the identified reference corpus from storage;(c) generating initial values of respective weights corresponding to a plurality of analysis algorithms by processing the retrieved reference corpus in accordance with a predetermined algorithm;(d) retrieving from storage another text document as a candidate document;(e) performing respective comparisons between the candidate document and the reference corpus in accordance with each of said analysis algorithms and producing respective comparison results;(f) generating corresponding weighted comparison results by multiplying each said comparison result by its respective weight;(g) summing the weighted comparison results to produce a dissimilarity measure that is indicative of the degree of dissimilarity between the retrieved reference corpus and the retrieved candidate document; and(h) storing the candidate document in a retained text store if said sum is indicative of a degree of dissimilarity less than a predetermined degree of dissimilarity.