Part 1 Introduction - the origins of information retrieval research: the first information retrieval system tests; testing indexing systems; Cranfield I; testing indexing devices - Cranfield II; relevance judgement and retrieval system tests; research on relevance judgement; relevance as a performance criterion; the Cranfield tradition and the information retrieval model. Part 2 Statistical and probabilistic retrieval: automatic indexing, classification and searching - SMART; document clustering; probabilistic models of relevance and relevance feedback; achievements and limitations of the statistical approach. Part 3 Cognitive user modelling: information retrieval through man-machine dialogue - the THOMAS program; anomalous states of knowledge; ASK-based retrieval; stereotype-based fiction retrieval - the GRUNDY program; cognitive models for retrieval. Part 4 Expert intermediary systems: expert intermediary systems - CONIT, CANSEARCH and PLEXUS; distributed expert-based intermediary system; MONSTRAT; intelligent intermediary for information retrieval; I3r; COmposite document expert/extended/effective retrieval CODER; expert systems for information retrieval. Part 5 Associations, relations and hypertext: 'as we may think' - MEMEX; database browsing and navigation - TINman; the origins of hypertext - Xanadu and NLS/augment; card-based hypertext systems - NoteCards and HyperCard; transforming text to hypertext; guide; hypercatalog; information retrieval by association; potential and problems of hypertext.
