PRINCIPLE AND METHOD FOR PERSONALIZING NEWS FEED VIA ANALYSIS OF INFORMATION NOVELTY AND INFORMATION DYNAMICS

摘要

PROBLEM TO BE SOLVED: To provide a system and a method for filtering temporal streams of information such as news stories by statistical measures of information novelty. SOLUTION: Various techniques can be applied to custom tailor news feeds of individual specification or other types of information based on information that a user has already reviewed. Methods for analyzing information novelty are provided along with a system that personalizes and filters information for users by identifying the novelty of stories in the context of stories the user has already reviewed. The system employs novelty-analysis algorithms that represent articles as a bag of words and named entities. The algorithms analyze inter- and infra-document dynamics by considering how information evolves over time from article to article, as well as within individual articles. COPYRIGHT: (C)2005,JPO&NCIPI