Local Feedback in Full-Text Retrieval Systems
Rony Attar, Aviezri S. Fraenkel · Journal of the ACM · 1977
AaSTRACT.In a full-text natural-language retrieval system, local feedbacl~ is the process of formulating a new ~mproved search based on clustering terms from the documents returned m a previous search of any given query Experiments were run on a database of US patents It ~s concluded that m contrast toglobalclustermg, where the size of matrices hmmts apphcatmns to small databases and improvements are doubtful, local clustering is practical also for large databases and appears to improve overall performance, especially tf metrical constraints and weighting by proximity are embedded m the local feedback The local methods adapt themselves to each mdwtdual search and produce useful searchonymsterms which are "synonymous" m the context of one query Searchonyms lead to new ~mproved search formulahons both via manual and vm automahc feedback