On the use of spreading activation methods in automatic information

By Gerard A. Salton, Chris Buckley. 1988

Subfields: Information Retrieval & Search

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Citations in the corpus

Churn in Social Networks (2010, methodology): “[13] models churn in telcom sector as a spread of influence applying the spreading activation [60] method.”
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering (2004, methodology): “Examples of these techniques are various statistical approaches [Crouch and Yang 1992], neural networks [Jung and Raghavan 1990], genetic algorithms [Gordon 1988], and spreading activation approaches [Cohen and Kjeldsen 1987; Salton and Buckley 1988].”
A Survey on Automatic Text Summarization (2007, methodology): “The name “spreading activation” is borrowed from a method used in information retrieval (Salton and Buckley, 1988) to expand the search vocabulary.”
Web search personalization with ontological user profiles (2007, methodology): “Traditionally, the spreading activation methods used in information retrieval are based on the existence of maps specifying the existence of particular relations between terms or concepts [24].”
Semantic similarity methods in wordNet and their application to information retrieval on the web (2005, background): “The following measures are based on a simplified version of spreading activation theory [9, 47].”
A new suffix tree similarity measure for document clustering (2007, methodology): “Term frequency - inverse document frequency (tf-idf) is a commonly used information retrieval technique for assigning weights to individual word terms appearing in all documents [22] [18].”