THE LIVING ARCHIVE

From punched cards to autonomous collaborators: the ideas, people, languages and systems that taught machines to follow—and increasingly interpret—human intent.

PAST / PRESENT / NEXT

Collection

Tag: smart-system

J. J. Rocchio and Relevance Feedback: Teaching a Search Engine from User Judgments

Rocchio relevance feedback showed how a search system could move a query toward documents a user judged relevant and away from those judged nonrelevant.

↗

Gerard Salton and the Vector Space Model: Turning Documents into Searchable Mathematics

Gerard Salton's SMART research and the vector space model turned documents and queries into weighted term vectors, making graded similarity and ranked retrieval central to search.

↗