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The Rocchio algorithm is based on a method of relevance feedback found in information retrieval systems which stemmed from the SMART Information Retrieval System developed between 1960 and 1964. Like many other retrieval systems, the Rocchio algorithm was developed using the vector space model .
Relevance feedback is a feature of some information retrieval systems. The idea behind relevance feedback is to take the results that are initially returned from a given query, to gather user feedback , and to use information about whether or not those results are relevant to perform a new query.
Rocchio proposed to judge manually some of the retrieved documents and use this feedback information to expand the query. Since collecting users' judgment can be challenging, only the first top retrieved documents are considered as relevant. This is the so called pseudo-relevance feedback (PRF). [6]
The SMART (System for the Mechanical Analysis and Retrieval of Text) Information Retrieval System is an information retrieval system developed at Cornell University in the 1960s. [1] Many important concepts in information retrieval were developed as part of research on the SMART system, including the vector space model , relevance feedback ...
They are young, old, burly, thin, black and white. Among them are firefighters, lorry drivers, soldiers, security guards, a journalist and a DJ. These are the 50 men accused of raping Gisèle ...
Olena Ruban/Getty Images. 4. Incompatible: Taurus and Aquarius. The zodiac’s bull is stable and predictable, especially in matters of the heart.That can spell romance and reliability for some ...
Rocchio Classification. In machine learning, a nearest centroid classifier or nearest prototype classifier is a classification model that assigns to observations the label of the class of training samples whose mean is closest to the observation.
Three arrested over death in UAE of rabbi Israel says was murdered in ‘antisemitic act of terror’