Kriterien und Einflussfaktoren bei der Relevanzbewertung von Surrogaten in akademischen Informationssystemen

Abstract

This paper presents a preliminary user model for relevance assessments in academic information systems taking into account popularity data. The model aims at a systematic representation of relevance clues, relevance criteria and relevance factors as influencing variables of relevance assessments. The focus is on search results that contain not only the usual elements such as title and description but also popularity data such as a work's citation or download numbers.