Everybody knows what relevance is. It is a ""ya'know"" notion, concept, idea-no need to explain whatsoever. Searching for
relevant information using information technology (IT) became a ubiquitous activity in contemporary information society. Relevant
information means information that pertains to the matter or problem at hand-it is directly connected with effective communication.
The purpose of this book is to trace the evolution and with it the history of thinking and research on relevance in information
science and related fields from the human point of view. The objective is to synthesize what we have learned about relevance
in several decades of investigation about the notion in information science. This book deals with how people deal with relevance-it
does not cover how systems deal with relevance; it does not deal with algorithms. Spurred by advances in information retrieval
(IR) and information systems of various kinds in handling of relevance, a number of basic questions are raised: But what is
relevance to start with? What are some of its properties and manifestations? How do people treat relevance? What affects relevance
assessments? What are the effects of inconsistent human relevance judgments on tests of relative performance of different
IR algorithms or approaches? These general questions are discussed in detail.