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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]
Automated information retrieval systems are used to reduce what has been called information overload. An IR system is a software system that provides access to books, journals and other documents; it also stores and manages those documents. Web search engines are the most visible IR applications.
The U.N. General Assembly on Wednesday overwhelmingly called on the United States to end its decades-long sanctions regime on Cuba, as the communist-run Caribbean island nation suffers its worst ...
Smart-home systems are “a bit of a wildcard,” as Marino termed them. If you’re planning to stay in the home, a smart thermostat or security system can make life easier and even save money in ...
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.
Consumer price increases accelerated last month, the latest sign that inflation's steady decline over the past two years has stalled in recent months. According to the Federal Reserve's preferred ...