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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. We can usefully distinguish between three types ...
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.
Relevance feedback – type of feedback; Rocchio classification – A classification model in machine learning based on centroids; Search engine indexing – Method for data management; Special Interest Group on Information Retrieval – Subgroup of the Association for Computing Machinery
The local analysis refers to the relevance feedback introduced by Rocchio. [5] 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.
The United Nations Security Council will vote on Friday to call on Rwanda's military to stop supporting the M23 rebel group in eastern Democratic Republic of Congo and immediately withdraw all ...
Example of a positive reinforcing loop between two values: bank balance and earned interest. A causal loop diagram (CLD) is a causal diagram that visualizes how different variables in a system are causally interrelated. The diagram consists of a set of words and arrows.
An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network , in which not only probabilistic inference problems but also decision making problems (following the maximum expected ...