title: Information retrieval: an overview of system characteristics.
abstract: The paper gives an overview of characteristics of information retrieval (IR) systems. The characteristics are identified from the descriptions of 23 IR systems. Four IR models are discussed: the Boolean model, the vector model, the probabilistic model and the connectionistic model. Twelve other characteristics of IR models are identified: search intermediary, domain knowledge, relevance feedback, natural language interface, graphical query language, conceptual queries, full-text IR, field searching, fuzzy queries, hypertext integration, machine learning, and ranked output. Finally, the relevance of IR systems for the World Wide Web is established.
authors.affiliation: Department of Medical Informatics, Maastricht University, The Netherlands. weisman@mi.unimaas.nl
authors.forename: F
authors.initials: F
authors.lastname: Wiesman
authors.forename: A
authors.initials: A
authors.lastname: Hasman
authors.forename: H J
authors.initials: HJ
authors.lastname: van den Herik
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003195:Computer Communication Networks; D005246:Feedback; D017143:Fuzzy Logic; D006801:Humans; D019146:Hypermedia; D016247:Information Storage and Retrieval; D009323:Natural Language Processing; D016571:Neural Networks, Computer; D011381:Programming Languages; D012984:Software; D014584:User-Computer Interface