Work

Information filtering via Iterative Refinement

Year: 2006

Type: article

Abstract: With the explosive growth of accessible information, expecially on the Internet, evaluation-based filtering has become a crucial task. Various systems have been devised aiming to sort through large volumes of information and select what is likely to be more relevant. In this letter we analyse a new ranking method, where the reputation of information providers is determined self-consistently.

Source: Europhysics Letters (EPL)

DOI: 10.1209/epl/i2006-10204-8

Authors: P Laureti, L Moret, Y.-C Zhang, Y.-K Yu

Institutions: University of Fribourg, National Institutes of Health, National Center for Biotechnology Information

Language: English

Topic: Information Retrieval and Search Behavior

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Health and Human Services, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Institutes of Health, U.S. National Library of Medicine

Award: Statistical Physics of Information - An interdisciplinary study of socio-economic systems