Patent ID: 6845374
Filing Date: 2005-01-18
Classification: G06F,H04L,Y10S

Abstract:
1. A method for adaptive text recommendation, the method comprising: receiving a query submitted by a client; computing a plurality of similarity scores between a plurality of documents that are of interest to the client, each of the plurality of similarity scores indicating similarity of words in a first document D grouping the plurality of documents into a plurality of clusters based on the similarity scores; constructing a recommended set by selecting one or more documents from the plurality of clusters, wherein the construction of the recommended set of documents further comprises calculating a relevance score of each document in the eligible set of documents; selecting documents of the eligible set of documents with high relevance scores; applying other selection criteria comprising popularity of the document in the eligible set of documents and client preference for the document in the eligible set of documents; and presenting the recommended set to the client.