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ABSTRACT
Spreading activation methods have been recommended in information retrieval to expand the search vocabulary and to complement the retrieved document sets. The spreading activation strategy is reminiscent of earlier associative indexing and retrieval systems. Some spreading activation procedures are briefly described, and evaluation output is given, reflecting the effectiveness of one of the proposed procedures.
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CITED BY 30
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Allison Woodruff , Rich Gossweiler , James Pitkow , Ed H. Chi , Stuart K. Card, Enhancing a digital book with a reading recommender, Proceedings of the SIGCHI conference on Human factors in computing systems, p.153-160, April 01-06, 2000, The Hague, The Netherlands
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Gui-Rong Xue , Hua-Jun Zeng , Zheng Chen , Yong Yu , Wei-Ying Ma , WenSi Xi , WeiGuo Fan, Optimizing web search using web click-through data, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA
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Serhiy Kosinov , Stephane Marchand-Maillet , Igor Kozintsev , Carole Dulong , Thierry Pun, Dual diffusion model of spreading activation for content-based image retrieval, Proceedings of the 8th ACM international workshop on Multimedia information retrieval, October 26-27, 2006, Santa Barbara, California, USA
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